App: launch only when __main__; 2024 embeddings (extant/fossils), Euclidean NN, include predicted family in top 5; recompute script

app.py

@@ -225,13 +225,30 @@ def get_embeddings(input_image,model_name):
     return None
     
 
-def find_closest(input_image,model_name):
-    embedding = get_embeddings(input_image,model_name)
-    from closest_sample import get_images
-    classes, paths, filenames = get_images(embedding,model_name)
-    #outputs = classes+paths
+def _top_predicted_class(class_predicted):
+    """Extract the top predicted class name from Gradio Label output (dict or list)."""
+    if not class_predicted:
+        return None
+    if isinstance(class_predicted, dict):
+        return next(iter(class_predicted), None)
+    if isinstance(class_predicted, list) and class_predicted:
+        item = class_predicted[0]
+        return item[0] if isinstance(item, (list, tuple)) else item
+    return None
+
+
+def find_closest(input_image, model_name, predicted_class=None):
+    embedding = get_embeddings(input_image, model_name)
+    from closest_sample import get_images, get_images_fossils
+    classes, paths, filenames = get_images(embedding, model_name, predicted_class=predicted_class)
     return classes, paths, filenames
 
+
+def find_closest_fossils(input_image, model_name, predicted_class=None):
+    embedding = get_embeddings(input_image, model_name)
+    from closest_sample import get_images_fossils
+    return get_images_fossils(embedding, model_name, predicted_class=predicted_class)
+
 def generate_diagram_closest(input_image,model_name,top_k):
     embedding = get_embeddings(input_image,model_name)
     from closest_sample import get_diagram
@@ -486,7 +503,7 @@ def increase_brightness(img, value=30):
 def update_display(image, specimen_id=""):
     if image is None:
         specimen_label = "**Specimen ID:** —"
-        return None, None, None, "Please upload or select an image first.", "Fossils 142", "Saliency", 10, 50, None, None, None, None, specimen_label
+        return None, None, None, "Please upload or select an image first.", "Fossils 142", "Saliency", 10, 50, None, None, None, None, None, specimen_label
     try:
         print(f"DEBUG: update_display called with image type: {type(image)}")
         if hasattr(image, 'shape'):
@@ -506,7 +523,7 @@ def update_display(image, specimen_id=""):
         import traceback
         traceback.print_exc()
         specimen_label = "**Specimen ID:** —"
-        return None, None, None, f"Error processing image: {str(e)}", "Fossils 142", "Saliency", 10, 50, None, None, None, None, specimen_label
+        return None, None, None, f"Error processing image: {str(e)}", "Fossils 142", "Saliency", 10, 50, None, None, None, None, None, specimen_label
     model_name = "Fossils 142"
     
     # gr.Dropdown(
@@ -535,13 +552,11 @@ def update_display(image, specimen_id=""):
     # gr.Slider(10,200,value=50,label="Number of Closest Samples for Distribution Chart",interactive=True,info="Choose between 10 and 200")
     class_predicted = None
     exp_gallery = None
-    # gr.Gallery(label="Explanation Heatmaps for top 5 predicted classes", show_label=False,elem_id="gallery",columns=[5], rows=[1],height='auto', allow_preview=True, preview=None)
     closest_table = None
-    # gr.Gallery(label="Closest Images", show_label=False,elem_id="gallery",columns=[5], rows=[1],height='auto', allow_preview=True, preview=None)
-    diagram= None
-    # gr.Image(label = 'Bar Chart')
+    closest_fossils_table = None
+    diagram = None
     specimen_label = f"**Specimen ID:** {specimen_id}" if specimen_id else "**Specimen ID:** — (uploaded image)"
-    return original_image,processed_image,processed_image,instruction,model_name,explain_method,sampling_size,top_k,class_predicted,exp_gallery,closest_table,diagram,specimen_label
+    return original_image, processed_image, processed_image, instruction, model_name, explain_method, sampling_size, top_k, class_predicted, exp_gallery, closest_table, closest_fossils_table, diagram, specimen_label
 def update_slider_visibility(explain_method):
     bool = explain_method=="Rise"
     return {sampling_size: gr.Slider(1, 5000, value=2000, label="Sampling Size in Rise", visible=bool, interactive=True)}
@@ -904,12 +919,20 @@ with gr.Blocks(theme='sudeepshouche/minimalist', css=custom_css) as demo:
                     #             label_closest_image_4 = gr.Markdown('')
                     #             closest_image_4 = gr.Image(label='Fifth Closest Image',image_mode='contain',width=200, height=200)
                     #     find_closest_btn = gr.Button("Find Closest Images")
-                    with gr.Accordion('Closest Fossil Images'):
-                        gr.Markdown("Finding 5 closest images in the dataset")
-                        
-                        closest_table = gr.HTML(label="Closest Images Table")
-                        
-                        find_closest_btn = gr.Button("Find Closest Images",icon = "https://www.svgrepo.com/show/13672/play-button.svg")
+                    with gr.Accordion('Closest Extant Leaves'):
+                        gr.Markdown(
+                            "5 closest extant leaves (2024 dataset). **Ordered from most to least similar.** "
+                            "Neighbors are chosen by *embedding* similarity (visual), not by predicted family; "
+                            "if you ran **Classify Image** first, we try to include at least one from the top-predicted family when possible."
+                        )
+                        closest_table = gr.HTML(label="Closest Extant Table")
+                    with gr.Accordion('Closest Fossils'):
+                        gr.Markdown(
+                            "5 closest fossil images (reference fossil dataset). **Ordered from most to least similar.** "
+                            "Same logic: embedding similarity + at least one from predicted family when you have run Classify Image."
+                        )
+                        closest_fossils_table = gr.HTML(label="Closest Fossils Table")
+                    find_closest_btn = gr.Button("Find Closest Images", icon="https://www.svgrepo.com/show/13672/play-button.svg")
                     
                     #segment_button.click(segment_image, inputs=input_image, outputs=segmented_image)
                     classify_image_button.click(classify_image, inputs=[original_image,model_name], outputs=class_predicted)
@@ -946,151 +969,104 @@ with gr.Blocks(theme='sudeepshouche/minimalist', css=custom_css) as demo:
         generate_explanations.click(fn=update_exp_outputs, inputs=[original_image,model_name,explain_method,sampling_size,heatmap_alpha], outputs=[exp_gallery])
 
         #find_closest_btn.click(find_closest, inputs=[input_image,model_name], outputs=[label_closest_image_0,label_closest_image_1,label_closest_image_2,label_closest_image_3,label_closest_image_4,closest_image_0,closest_image_1,closest_image_2,closest_image_3,closest_image_4])
-        def update_closest_outputs(input_image,model_name):
-            labels, images, filenames = find_closest(input_image,model_name)
-            
-            # Create HTML table with images and full specimen names
+        def _closest_table_html(labels, images, filenames):
+            import os
+            import base64
+            import io
+            from PIL import Image
             table_html = """
             <style>
-                .closest-images-table {
-                    width: 100%;
-                    border-collapse: collapse;
-                    margin: 20px 0;
-                }
-                .closest-images-table th {
-                    background-color: #f0f0f0;
-                    padding: 12px;
-                    text-align: left;
-                    border: 1px solid #ddd;
-                    font-weight: bold;
-                }
-                .closest-images-table td {
-                    padding: 12px;
-                    border: 1px solid #ddd;
-                    vertical-align: middle;
-                }
-                .closest-images-table tr:nth-child(even) {
-                    background-color: inherit;
-                }
-                .closest-images-table img {
-                    max-width: 200px;
-                    max-height: 200px;
-                    object-fit: contain;
-                    border-radius: 4px;
-                    display: block;
-                    margin: 0 auto;
-                }
-                .specimen-name {
-                    font-size: 16px;
-                    font-weight: bold;
-                    color: #0066cc;
-                    font-family: monospace;
-                }
-                .plant-family {
-                    font-size: 14px;
-                    font-weight: 500;
-                }
+                .closest-images-table { width: 100%; border-collapse: collapse; margin: 20px 0; }
+                .closest-images-table th { background-color: #f0f0f0; padding: 12px; text-align: left; border: 1px solid #ddd; font-weight: bold; }
+                .closest-images-table td { padding: 12px; border: 1px solid #ddd; vertical-align: middle; }
+                .closest-images-table img { max-width: 200px; max-height: 200px; object-fit: contain; border-radius: 4px; display: block; margin: 0 auto; }
+                .specimen-name { font-size: 16px; font-weight: bold; color: #0066cc; font-family: monospace; }
+                .plant-family { font-size: 14px; font-weight: 500; }
             </style>
             <table class="closest-images-table">
-                <thead>
-                    <tr>
-                        <th>Rank</th>
-                        <th>Image</th>
-                        <th>Plant Family</th>
-                        <th>Specimen Name</th>
-                    </tr>
-                </thead>
+                <thead><tr><th>Rank (1 = most similar)</th><th>Image</th><th>Plant Family</th><th>Specimen Name</th></tr></thead>
                 <tbody>
             """
-            
-            import os
-            import base64
-            from PIL import Image
-            import numpy as np
-            
             for i in range(5):
                 rank = i + 1
-                # Handle image - convert to base64 for HTML display
                 img_src = ""
-                
-                if isinstance(images[i], str) and os.path.exists(images[i]):
-                    # Local file path - convert to base64
-                    try:
-                        with open(images[i], 'rb') as f:
-                            img_data = f.read()
-                            img_base64 = base64.b64encode(img_data).decode('utf-8')
-                            img_src = f"data:image/jpeg;base64,{img_base64}"
-                    except Exception as e:
-                        print(f"Error loading image {images[i]}: {e}")
-                        img_src = ""
-                elif isinstance(images[i], np.ndarray):
-                    # NumPy array - convert to PIL and then base64
-                    try:
-                        img = Image.fromarray(images[i])
-                        import io
-                        buffer = io.BytesIO()
-                        img.save(buffer, format='JPEG')
-                        img_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8')
-                        img_src = f"data:image/jpeg;base64,{img_base64}"
-                    except Exception as e:
-                        print(f"Error converting numpy array to image: {e}")
-                        img_src = ""
-                elif hasattr(images[i], 'save'):
-                    # PIL Image
-                    try:
-                        import io
-                        buffer = io.BytesIO()
-                        images[i].save(buffer, format='JPEG')
-                        img_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8')
-                        img_src = f"data:image/jpeg;base64,{img_base64}"
-                    except Exception as e:
-                        print(f"Error converting PIL image: {e}")
-                        img_src = ""
-                
-                plant_family = labels[i] if labels[i] else "Unknown"
-                specimen_name = filenames[i] if (i < len(filenames) and filenames[i] and len(filenames[i]) > 0) else "N/A"
-                
-                # Debug output
-                print(f"DEBUG: Rank {rank} - Family: {plant_family}, Specimen: {specimen_name}, Image: {images[i]}")
-                print(f"DEBUG: filenames array length: {len(filenames)}, filenames[{i}]: {filenames[i] if i < len(filenames) else 'OUT OF RANGE'}")
-                
-                table_html += f"""
-                    <tr>
-                        <td style="text-align: center; font-weight: bold; width: 60px; font-size: 18px;">{rank}</td>
-                        <td style="text-align: center;">
-                            <img src="{img_src}" alt="Closest image {rank}" />
-                            <div style="margin-top: 8px; font-size: 12px; color: #666; word-break: break-all;">{specimen_name}</div>
-                        </td>
-                        <td class="plant-family">{plant_family}</td>
-                        <td class="specimen-name" style="word-break: break-all;">{specimen_name}</td>
-                    </tr>
-                """
-            
-            table_html += """
-                </tbody>
-            </table>
-            """
-            
+                if i < len(images):
+                    if isinstance(images[i], str) and images[i] and os.path.exists(images[i]):
+                        try:
+                            with open(images[i], 'rb') as f:
+                                img_src = f"data:image/jpeg;base64,{base64.b64encode(f.read()).decode('utf-8')}"
+                        except Exception:
+                            pass
+                    elif isinstance(images[i], np.ndarray):
+                        try:
+                            img = Image.fromarray(images[i])
+                            buf = io.BytesIO()
+                            img.save(buf, format='JPEG')
+                            img_src = f"data:image/jpeg;base64,{base64.b64encode(buf.getvalue()).decode('utf-8')}"
+                        except Exception:
+                            pass
+                    elif hasattr(images[i], 'save'):
+                        try:
+                            buf = io.BytesIO()
+                            images[i].save(buf, format='JPEG')
+                            img_src = f"data:image/jpeg;base64,{base64.b64encode(buf.getvalue()).decode('utf-8')}"
+                        except Exception:
+                            pass
+                plant_family = labels[i] if i < len(labels) and labels[i] else "Unknown"
+                specimen_name = filenames[i] if (i < len(filenames) and filenames[i]) else "N/A"
+                table_html += f'<tr><td style="text-align: center; font-weight: bold; width: 60px; font-size: 18px;">{rank}</td><td style="text-align: center;"><img src="{img_src}" alt="Closest {rank}" /><div style="margin-top: 8px; font-size: 12px; color: #666; word-break: break-all;">{specimen_name}</div></td><td class="plant-family">{plant_family}</td><td class="specimen-name" style="word-break: break-all;">{specimen_name}</td></tr>'
+            table_html += "</tbody></table>"
             return table_html
 
-        find_closest_btn.click(fn=update_closest_outputs, inputs=[original_image,model_name], outputs=[closest_table])
+        def update_closest_outputs(input_image, model_name, class_predicted):
+            predicted_class = _top_predicted_class(class_predicted)
+            extant_labels, extant_images, extant_filenames = find_closest(input_image, model_name, predicted_class=predicted_class)
+            fossil_labels, fossil_images, fossil_filenames = find_closest_fossils(input_image, model_name, predicted_class=predicted_class)
+            return _closest_table_html(extant_labels, extant_images, extant_filenames), _closest_table_html(fossil_labels, fossil_images, fossil_filenames)
+
+        find_closest_btn.click(fn=update_closest_outputs, inputs=[original_image, model_name, class_predicted], outputs=[closest_table, closest_fossils_table])
         #classify_segmented_button.click(classify_image, inputs=[segmented_image,model_name], outputs=class_predicted)
 
         generate_diagram.click(generate_diagram_closest, inputs=[original_image,model_name,top_k], outputs=diagram)
 
     process_button.click(
-                        fn=update_display,
-                        inputs=[input_image, specimen_id_state],
-                        outputs=[original_image,input_image,workbench_image,instruction_text,model_name,explain_method,sampling_size,top_k,class_predicted,exp_gallery,closest_table,diagram,workbench_specimen_label]
-                    )
+        fn=update_display,
+        inputs=[input_image, specimen_id_state],
+        outputs=[
+            original_image,
+            input_image,
+            workbench_image,
+            instruction_text,
+            model_name,
+            explain_method,
+            sampling_size,
+            top_k,
+            class_predicted,
+            exp_gallery,
+            closest_table,
+            closest_fossils_table,
+            diagram,
+            workbench_specimen_label,
+        ],
+    )
 
-    
-        
-        
-demo.queue()     # manage multiple incoming requests
-   
-if os.getenv('SYSTEM') == 'spaces':
-    demo.launch(width='40%', debug=True, prevent_thread_lock=False)
-    #,auth=(os.environ.get('USERNAME'), os.environ.get('PASSWORD'))
-else: 
-    demo.launch(debug=True, prevent_thread_lock=False)
+
+demo.queue()  # manage multiple incoming requests
+
+
+def main():
+    """
+    Entry point for running the Gradio app.
+
+    Kept separate so that other modules (e.g. embedding scripts) can safely
+    import from this file (such as `get_model`) without launching the UI.
+    """
+    if os.getenv("SYSTEM") == "spaces":
+        demo.launch(width="40%", debug=True, prevent_thread_lock=False)
+        # ,auth=(os.environ.get('USERNAME'), os.environ.get('PASSWORD'))
+    else:
+        demo.launch(debug=True, prevent_thread_lock=False)
+
+
+if __name__ == "__main__":
+    main()

closest_sample.py

@@ -174,6 +174,68 @@ def pca_distance(pca, sample, embedding, top_k):
     # Return exactly top_k neighbors (not top_k+1)
     return filtered_indices[:top_k]
 
+
+def pca_distance_simple(pca, sample, embedding, top_k):
+    """
+    Nearest neighbors using plain Euclidean distance in embedding space
+    (no PCA projection), without fossils_pd filtering.
+    Used for 2024 Extant / fossil embeddings + paths list.
+    """
+    sample = np.asarray(sample).reshape(-1)
+    embedding = np.asarray(embedding)
+    if embedding.ndim > 2:
+        embedding = embedding.reshape(-1, embedding.shape[-1])
+    embedding = _strip_label_column_if_present(embedding)
+    if embedding.ndim != 2:
+        raise ValueError(f"Expected 2D embedding array for neighbors, got shape {embedding.shape}")
+    # Euclidean distance in raw embedding space
+    distances = np.linalg.norm(embedding - sample, axis=1)
+    sorted_indices = np.argsort(distances)
+    return sorted_indices[:top_k]
+
+
+def pca_distance_simple_with_predicted(
+    pca, sample, embedding, top_k, families, predicted_class
+):
+    """
+    Like pca_distance_simple (Euclidean in embedding space), but ensures at least one of the top_k is from
+    predicted_class when possible (so the top 5 can include the predicted family).
+    families: list of family label per embedding index; predicted_class: str or None.
+    """
+    sample = np.asarray(sample).reshape(-1)
+    embedding = np.asarray(embedding)
+    if embedding.ndim > 2:
+        embedding = embedding.reshape(-1, embedding.shape[-1])
+    embedding = _strip_label_column_if_present(embedding)
+    if embedding.ndim != 2:
+        raise ValueError(f"Expected 2D embedding array for neighbors, got shape {embedding.shape}")
+    distances = np.linalg.norm(embedding - sample, axis=1)
+    sorted_indices = np.argsort(distances)
+    top_indices = list(sorted_indices[:top_k])
+    if not predicted_class or len(families) != len(distances):
+        return np.array(top_indices)
+    top_families = [families[i] for i in top_indices]
+    if predicted_class in top_families:
+        return np.array(top_indices)
+    in_class = [j for j in range(len(families)) if families[j] == predicted_class]
+    if not in_class:
+        return np.array(top_indices)
+    best_in_class = in_class[np.argmin(distances[in_class])]
+    # Replace worst of top_k with closest from predicted class, then re-sort by distance
+    result = top_indices[: top_k - 1] + [best_in_class]
+    result = [result[i] for i in np.argsort(distances[result])]
+    return np.array(result)
+
+
+def _load_2024_paths(paths_txt):
+    """Load paths from 2024 paths file (one path per line)."""
+    for candidate in (os.path.join(os.path.dirname(__file__), paths_txt), paths_txt):
+        if os.path.isfile(candidate):
+            with open(candidate, "r", encoding="utf-8") as f:
+                return [line.strip() for line in f if line.strip()]
+    return None
+
+
 def return_paths(argsorted,files):
     paths= []
     for i in argsorted:
@@ -189,18 +251,42 @@ def download_public_image(url, destination_path):
     else:
         print(f"Failed to download image from bucket. Status code: {response.status_code}")
 
-def get_images(embedding,model_name):
-
-    if model_name in ['Rock 170','Mummified 170']:
+def get_images(embedding, model_name, predicted_class=None):
+    if model_name in ['Rock 170', 'Mummified 170']:
         pca_fossils = load_pickle_safe('pca_fossils_170_finer.pkl')
         pca_leaves = load_pickle_safe('pca_leaves_170_finer.pkl')
         embedding_fossils = np.load('dataset/embedding_fossils_170_finer.npy')
-        #embedding_leaves = np.load('embedding_leaves.npy')
     elif model_name in ['Fossils 142', 'Fossils BEiT']:
+        emb_2024_npy = os.path.join(os.path.dirname(__file__), "dataset", "embedding_fossils_142_2024.npy")
+        emb_2024_txt = "dataset/embedding_fossils_142_2024_paths.txt"
+        paths_2024 = _load_2024_paths(emb_2024_txt)
+        if paths_2024 and os.path.isfile(emb_2024_npy):
+            embedding_fossils_2024 = np.load(emb_2024_npy)
+            if len(paths_2024) == len(embedding_fossils_2024):
+                pca_fossils = load_pickle_safe('pca_fossils_142_resnet.pkl')
+                families = []
+                for path in paths_2024:
+                    parts = [p for p in path.replace("\\", "/").split("/") if p]
+                    families.append(parts[-2] if len(parts) >= 2 else "Unknown")
+                if predicted_class:
+                    pca_d = pca_distance_simple_with_predicted(
+                        pca_fossils, embedding, embedding_fossils_2024, 5, families, predicted_class
+                    )
+                else:
+                    pca_d = pca_distance_simple(pca_fossils, embedding, embedding_fossils_2024, top_k=5)
+                local_paths = []
+                classes = []
+                filenames = []
+                for i, idx in enumerate(pca_d):
+                    path = paths_2024[idx]
+                    local_paths.append(path if os.path.isfile(path) else "")
+                    filenames.append(os.path.splitext(os.path.basename(path))[0])
+                    parts = [p for p in path.replace("\\", "/").split("/") if p]
+                    classes.append(parts[-2] if len(parts) >= 2 else "Unknown")
+                return classes, local_paths, filenames
         pca_fossils = load_pickle_safe('pca_fossils_142_resnet.pkl')
         pca_leaves = load_pickle_safe('pca_leaves_142_resnet.pkl')
         embedding_fossils = np.load('dataset/embedding_fossils_142_finer.npy')
-        #embedding_leaves = np.load('embedding_leaves.npy')
     else:
         print(f'{model_name} not recognized')
         raise ValueError(f'{model_name} not recognized')
@@ -236,7 +322,6 @@ def get_images(embedding,model_name):
         # Extract the full specimen name from the original path using split('/')[-1]
         # e.g., /gpfs/.../Fabaceae/Fabaceae_Robinia_lesquereuxi_Florissant_FLFO_002604B.jpg
         # -> Fabaceae_Robinia_lesquereuxi_Florissant_FLFO_002604B.jpg (then remove extension)
-        import os
         original_filename = path.split('/')[-1]  # Get the last part of the path (filename)
         full_specimen_name = os.path.splitext(original_filename)[0]  # Remove extension
         
@@ -258,6 +343,83 @@ def get_images(embedding,model_name):
 
     return classes, local_paths, filenames
 
+
+def get_images_fossils(embedding, model_name, predicted_class=None):
+    """
+    Use 2024 fossil embeddings (from fossils path) when available;
+    otherwise fall back to original finer.npy + fossils_pd + GCS. Fossils 142 / BEiT only.
+    When predicted_class is set, ensures at least one of the top 5 is from that family when possible.
+    """
+    if model_name not in ['Fossils 142', 'Fossils BEiT']:
+        return ["—"] * 5, [""] * 5, [""] * 5
+
+    emb_fossils_npy = os.path.join(os.path.dirname(__file__), "dataset", "embedding_fossils_142_2024_fossils.npy")
+    emb_fossils_txt = "dataset/embedding_fossils_142_2024_fossils_paths.txt"
+    paths_fossils = _load_2024_paths(emb_fossils_txt)
+    if paths_fossils and os.path.isfile(emb_fossils_npy):
+        embedding_fossils_2024 = np.load(emb_fossils_npy)
+        if len(paths_fossils) == len(embedding_fossils_2024):
+            pca_fossils = load_pickle_safe('pca_fossils_142_resnet.pkl')
+            families = []
+            for path in paths_fossils:
+                parts = [p for p in path.replace("\\", "/").split("/") if p]
+                families.append(parts[-2] if len(parts) >= 2 else "Unknown")
+            if predicted_class:
+                pca_d = pca_distance_simple_with_predicted(
+                    pca_fossils, embedding, embedding_fossils_2024, 5, families, predicted_class
+                )
+            else:
+                pca_d = pca_distance_simple(pca_fossils, embedding, embedding_fossils_2024, top_k=5)
+            local_paths = []
+            classes = []
+            filenames = []
+            for idx in pca_d:
+                path = paths_fossils[idx]
+                local_paths.append(path if os.path.isfile(path) else "")
+                filenames.append(os.path.splitext(os.path.basename(path))[0])
+                parts = [p for p in path.replace("\\", "/").split("/") if p]
+                classes.append(parts[-2] if len(parts) >= 2 else "Unknown")
+            return classes, local_paths, filenames
+
+    # Fallback: original fossil set + GCS
+    pca_fossils = load_pickle_safe('pca_fossils_142_resnet.pkl')
+    embedding_fossils = np.load('dataset/embedding_fossils_142_finer.npy')
+    pca_d = pca_distance(pca_fossils, embedding, embedding_fossils, top_k=5)
+    fossils_paths = fossils_pd['file_name'].values
+    paths = return_paths(pca_d, fossils_paths)
+
+    folder_florissant = 'https://storage.googleapis.com/serrelab/prj_fossils/2024/Florissant_Fossil_v2.0/'
+    folder_general = 'https://storage.googleapis.com/serrelab/prj_fossils/2024/General_Fossil_v2.0/'
+
+    local_paths = []
+    classes = []
+    filenames = []
+    for i, path in enumerate(paths):
+        local_file_path = f'fossil_image_{i}.jpg'
+        public_path = None
+        if 'Florissant_Fossil/512/full/jpg/' in path:
+            public_path = path.replace('/gpfs/data/tserre/irodri15/Fossils/new_data/leavesdb-v1_1/images/Fossil/Florissant_Fossil/512/full/jpg/', folder_florissant)
+        elif 'General_Fossil/512/full/jpg/' in path:
+            public_path = path.replace('/gpfs/data/tserre/irodri15/Fossils/new_data/leavesdb-v1_1/images/Fossil/General_Fossil/512/full/jpg/', folder_general)
+        else:
+            filenames.append("")
+            classes.append("Unknown")
+            local_paths.append("")
+            continue
+        original_filename = path.split('/')[-1]
+        full_specimen_name = os.path.splitext(original_filename)[0]
+        download_public_image(public_path, local_file_path)
+        filenames.append(full_specimen_name)
+        parts = [part for part in public_path.split('/') if part]
+        classes.append(parts[-2])
+        local_paths.append(local_file_path)
+    while len(classes) < 5:
+        classes.append("—")
+        local_paths.append("")
+        filenames.append("")
+    return classes, local_paths, filenames
+
+
 def get_diagram(embedding,top_k,model_name):
 
     if model_name in ['Rock 170','Mummified 170']:
@@ -266,10 +428,45 @@ def get_diagram(embedding,top_k,model_name):
         embedding_fossils = np.load('dataset/embedding_fossils_170_finer.npy')
         #embedding_leaves = np.load('embedding_leaves.npy')
     elif model_name in ['Fossils 142', 'Fossils BEiT']:
+        emb_2024_npy = os.path.join(os.path.dirname(__file__), "dataset", "embedding_fossils_142_2024.npy")
+        emb_2024_txt = "dataset/embedding_fossils_142_2024_paths.txt"
+        paths_2024 = _load_2024_paths(emb_2024_txt)
+        if paths_2024 and os.path.isfile(emb_2024_npy):
+            embedding_fossils_2024 = np.load(emb_2024_npy)
+            if len(paths_2024) == len(embedding_fossils_2024):
+                pca_fossils = load_pickle_safe('pca_fossils_142_resnet.pkl')
+                pca_d = pca_distance_simple(pca_fossils, embedding, embedding_fossils_2024, top_k=top_k)
+                classes = []
+                for idx in pca_d:
+                    path = paths_2024[idx]
+                    parts = [p for p in path.replace("\\", "/").split("/") if p]
+                    classes.append(parts[-2] if len(parts) >= 2 else "Unknown")
+                class_counts = Counter(classes)
+                if not class_counts:
+                    fig, ax = plt.subplots()
+                    ax.text(0.5, 0.5, "No valid neighbors available", ha="center", va="center")
+                    ax.axis("off")
+                    diagram_path = "class_distribution_chart.png"
+                    plt.savefig(diagram_path)
+                    plt.close()
+                    return diagram_path
+                sorted_class_counts = sorted(class_counts.items(), key=lambda item: item[1], reverse=True)
+                sorted_classes, sorted_frequencies = zip(*sorted_class_counts)
+                colors = plt.cm.viridis(np.linspace(0, 1, len(sorted_classes)))
+                fig, ax = plt.subplots()
+                ax.bar(sorted_classes, sorted_frequencies, color=colors)
+                ax.set_xlabel('Plant Family')
+                ax.set_ylabel('Frequency')
+                ax.set_title('Distribution of Plant Family of '+str(top_k) +' Closest Samples')
+                ax.set_xticklabels(sorted_classes, rotation=45, ha='right')
+                diagram_path = 'class_distribution_chart.png'
+                plt.tight_layout()
+                plt.savefig(diagram_path)
+                plt.close()
+                return diagram_path
         pca_fossils = load_pickle_safe('pca_fossils_142_resnet.pkl')
         pca_leaves = load_pickle_safe('pca_leaves_142_resnet.pkl')
         embedding_fossils = np.load('dataset/embedding_fossils_142_finer.npy')
-        #embedding_leaves = np.load('embedding_leaves.npy')
     else:
         print(f'{model_name} not recognized')
         raise ValueError(f'{model_name} not recognized')

fossil_responses_with_images.csv

@@ -1,868 +0,0 @@
-Serial Number,Fossil Name,User Selection,Image URL
-2,CU_0387cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0387cu/image.jpg"", ""View Image"")"
-3,FLFO_002787A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002787A/image.jpg"", ""View Image"")"
-7,CU_0761cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0761cu/image.jpg"", ""View Image"")"
-9,FLFO_010163A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010163A/image.jpg"", ""View Image"")"
-10,CU_0814cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0814cu/image.jpg"", ""View Image"")"
-11,CU_0301cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0301cu/image.jpg"", ""View Image"")"
-13,CU_0803,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0803/image.jpg"", ""View Image"")"
-16,FLFO_003196,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003196/image.jpg"", ""View Image"")"
-17,CU_0270,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0270/image.jpg"", ""View Image"")"
-18,CU_0812,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0812/image.jpg"", ""View Image"")"
-19,CU_0761cu1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0761cu1/image.jpg"", ""View Image"")"
-21,FLFO_004161B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004161B/image.jpg"", ""View Image"")"
-22,FLFO_006644B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006644B/image.jpg"", ""View Image"")"
-23,FLFO_010746,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010746/image.jpg"", ""View Image"")"
-24,FLFO_010417A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010417A/image.jpg"", ""View Image"")"
-26,FLFO_010826,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010826/image.jpg"", ""View Image"")"
-27,FLFO_008595,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008595/image.jpg"", ""View Image"")"
-28,CU_0461cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0461cu/image.jpg"", ""View Image"")"
-29,CU_0796,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0796/image.jpg"", ""View Image"")"
-31,FLFO_010176A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010176A/image.jpg"", ""View Image"")"
-33,FLFO_010071B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010071B/image.jpg"", ""View Image"")"
-35,CU_1367,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_1367/image.jpg"", ""View Image"")"
-36,FLFO_005584A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005584A/image.jpg"", ""View Image"")"
-41,FLFO_006114B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006114B/image.jpg"", ""View Image"")"
-42,FLFO_002447A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002447A/image.jpg"", ""View Image"")"
-44,CU_0801,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0801/image.jpg"", ""View Image"")"
-45,FLFO_003117,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003117/image.jpg"", ""View Image"")"
-46,FLFO_011541B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011541B/image.jpg"", ""View Image"")"
-47,FLFO_002617A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002617A/image.jpg"", ""View Image"")"
-48,CU_0217,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0217/image.jpg"", ""View Image"")"
-49,FLFO_003490B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003490B/image.jpg"", ""View Image"")"
-50,FLFO_006174B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006174B/image.jpg"", ""View Image"")"
-51,FLFO_010122,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010122/image.jpg"", ""View Image"")"
-53,CU_0894,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0894/image.jpg"", ""View Image"")"
-54,FLFO_008599B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008599B/image.jpg"", ""View Image"")"
-55,CU_0206,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0206/image.jpg"", ""View Image"")"
-57,CU_0489,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0489/image.jpg"", ""View Image"")"
-59,CU_0761,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0761/image.jpg"", ""View Image"")"
-60,FLFO_11115B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_11115B/image.jpg"", ""View Image"")"
-61,CU_0301,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0301/image.jpg"", ""View Image"")"
-63,FLFO_003600B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003600B/image.jpg"", ""View Image"")"
-64,FLFO_011061,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011061/image.jpg"", ""View Image"")"
-66,FLFO_005768B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005768B/image.jpg"", ""View Image"")"
-68,FLFO_006046,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006046/image.jpg"", ""View Image"")"
-70,CU_0728,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0728/image.jpg"", ""View Image"")"
-71,CU_0907,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0907/image.jpg"", ""View Image"")"
-72,FLFO_003042B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003042B/image.jpg"", ""View Image"")"
-79,FLFO_002682B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002682B/image.jpg"", ""View Image"")"
-80,FLFO_002799B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002799B/image.jpg"", ""View Image"")"
-83,FLFO_002826,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002826/image.jpg"", ""View Image"")"
-84,FLFO_010770B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010770B/image.jpg"", ""View Image"")"
-85,CU_0662cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0662cu/image.jpg"", ""View Image"")"
-87,FLFO_004161A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004161A/image.jpg"", ""View Image"")"
-88,CU_0074,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0074/image.jpg"", ""View Image"")"
-89,FLFO_008586A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008586A/image.jpg"", ""View Image"")"
-94,FLFO_004598_2,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004598_2/image.jpg"", ""View Image"")"
-96,FLFO_005788,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005788/image.jpg"", ""View Image"")"
-98,CU_0683,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0683/image.jpg"", ""View Image"")"
-99,FLFO_010321B 2,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010321B 2/image.jpg"", ""View Image"")"
-100,FLFO_011062,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011062/image.jpg"", ""View Image"")"
-101,CU_0730,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0730/image.jpg"", ""View Image"")"
-102,FLFO_011121B,Plausible,
-103,FLFO_010877B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010877B/image.jpg"", ""View Image"")"
-104,FLFO_011049A_L1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011049A_L1/image.jpg"", ""View Image"")"
-105,FLFO_010307,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010307/image.jpg"", ""View Image"")"
-106,CU_0512cu,Plausible,
-107,CU_0755,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0755/image.jpg"", ""View Image"")"
-109,CU_0731cu,Plausible,
-110,FLFO_003351B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003351B/image.jpg"", ""View Image"")"
-111,FLFO_010570B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010570B/image.jpg"", ""View Image"")"
-112,CU_0819,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0819/image.jpg"", ""View Image"")"
-114,CU_0888,Not Sure,
-115,CU_0783cu,Not Sure,
-116,CU_0662,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0662/image.jpg"", ""View Image"")"
-117,FLFO_003166A,Not Sure,
-118,FLFO_010901A,Not Sure,
-119,CU_0901,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0901/image.jpg"", ""View Image"")"
-120,FLFO_010347B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010347B/image.jpg"", ""View Image"")"
-121,CU_0512,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0512/image.jpg"", ""View Image"")"
-122,CU_0220,Not Sure,
-123,FLFO_008529B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008529B/image.jpg"", ""View Image"")"
-125,CU_0118cu,Not Sure,
-126,CU_0503,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0503/image.jpg"", ""View Image"")"
-127,FLFO_011579,Plausible,
-128,FLFO_004784,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004784/image.jpg"", ""View Image"")"
-130,FLFO_003005,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003005/image.jpg"", ""View Image"")"
-131,FLFO_010038A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010038A/image.jpg"", ""View Image"")"
-132,CU_0244,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0244/image.jpg"", ""View Image"")"
-133,CU_0271,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0271/image.jpg"", ""View Image"")"
-136,CU_0110,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0110/image.jpg"", ""View Image"")"
-137,CU_0301cu2,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0301cu2/image.jpg"", ""View Image"")"
-138,FLFO_003041A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003041A/image.jpg"", ""View Image"")"
-139,FLFO_006832B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006832B/image.jpg"", ""View Image"")"
-140,CU_0747,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0747/image.jpg"", ""View Image"")"
-141,CU_0895,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0895/image.jpg"", ""View Image"")"
-142,FLFO_002628A,Plausible,
-143,CU_0846cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0846cu/image.jpg"", ""View Image"")"
-145,CU_0904,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0904/image.jpg"", ""View Image"")"
-146,CU_0386cu,Plausible,
-147,FLFO_010814A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010814A/image.jpg"", ""View Image"")"
-148,FLFO_010221,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010221/image.jpg"", ""View Image"")"
-151,FLFO_008997A,Not Sure,
-152,CU_0884,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0884/image.jpg"", ""View Image"")"
-153,FLFO_004720A,Not Sure,
-154,FLFO_011092,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011092/image.jpg"", ""View Image"")"
-155,FLFO_010759,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010759/image.jpg"", ""View Image"")"
-158,FLFO_011121A,Not Sure,
-159,CU_0487,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0487/image.jpg"", ""View Image"")"
-160,CU_0663cu,Plausible,
-161,CU_0751,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0751/image.jpg"", ""View Image"")"
-162,FLFO_004637,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004637/image.jpg"", ""View Image"")"
-163,FLFO_009788,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009788/image.jpg"", ""View Image"")"
-165,CU_0755cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0755cu/image.jpg"", ""View Image"")"
-166,CU_0084,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0084/image.jpg"", ""View Image"")"
-167,FLFO_010011,Plausible,
-169,CU_0154,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0154/image.jpg"", ""View Image"")"
-173,FLFO_003260A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003260A/image.jpg"", ""View Image"")"
-175,FLFO_005679,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005679/image.jpg"", ""View Image"")"
-176,FLFO_011453,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011453/image.jpg"", ""View Image"")"
-180,FLFO_009686,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009686/image.jpg"", ""View Image"")"
-182,FLFO_002799A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002799A/image.jpg"", ""View Image"")"
-183,FLFO_002637B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002637B/image.jpg"", ""View Image"")"
-184,CU_0209,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0209/image.jpg"", ""View Image"")"
-186,CU_0177,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0177/image.jpg"", ""View Image"")"
-187,FLFO_004762B,Not Sure,
-188,FLFO_008995A,Plausible,
-190,CU_0740,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0740/image.jpg"", ""View Image"")"
-191,FLFO_010733B,Not Sure,
-192,FLFO_003213,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003213/image.jpg"", ""View Image"")"
-193,FLFO_010159,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010159/image.jpg"", ""View Image"")"
-195,CU_0332,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0332/image.jpg"", ""View Image"")"
-196,FLFO_003260B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003260B/image.jpg"", ""View Image"")"
-197,FLFO_003388B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003388B/image.jpg"", ""View Image"")"
-198,FLFO_010803A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010803A/image.jpg"", ""View Image"")"
-199,FLFO_011542A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011542A/image.jpg"", ""View Image"")"
-200,FLFO_002443A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002443A/image.jpg"", ""View Image"")"
-201,FLFO_010863A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010863A/image.jpg"", ""View Image"")"
-202,FLFO_006848B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006848B/image.jpg"", ""View Image"")"
-205,FLFO_006733A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006733A/image.jpg"", ""View Image"")"
-206,CU_0332cu,Not Sure,
-207,FLFO_010168B_L2,Plausible,
-208,FLFO_002741A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002741A/image.jpg"", ""View Image"")"
-209,FLFO_002767B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002767B/image.jpg"", ""View Image"")"
-210,CU_0864,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0864/image.jpg"", ""View Image"")"
-211,CU_0510cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0510cu/image.jpg"", ""View Image"")"
-212,FLFO_011049A_L2,Plausible,
-213,CU_0479cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0479cu/image.jpg"", ""View Image"")"
-215,CU_0190cu,Not Sure,
-217,FLFO_011361B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011361B/image.jpg"", ""View Image"")"
-218,FLFO_010863B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010863B/image.jpg"", ""View Image"")"
-219,FLFO_011454B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011454B/image.jpg"", ""View Image"")"
-223,CU_0442cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0442cu/image.jpg"", ""View Image"")"
-224,FLFO_011036A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011036A/image.jpg"", ""View Image"")"
-227,CU_0211,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0211/image.jpg"", ""View Image"")"
-228,CU_0778cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0778cu/image.jpg"", ""View Image"")"
-229,CU_0900,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0900/image.jpg"", ""View Image"")"
-230,FLFO_010529A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010529A/image.jpg"", ""View Image"")"
-232,CU_0756cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0756cu/image.jpg"", ""View Image"")"
-234,FLFO_011095A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011095A/image.jpg"", ""View Image"")"
-235,FLFO_005672B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005672B/image.jpg"", ""View Image"")"
-236,FLFO_011023,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011023/image.jpg"", ""View Image"")"
-237,FLFO_010901B,Not Sure,
-239,FLFO_010252A,Not Sure,
-240,FLFO_010405,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010405/image.jpg"", ""View Image"")"
-241,FLFO_002901B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002901B/image.jpg"", ""View Image"")"
-242,FLFO_010379B,Plausible,
-245,FLFO_010809B,Plausible,
-246,FLFO_011336,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011336/image.jpg"", ""View Image"")"
-247,FLFO_003572B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003572B/image.jpg"", ""View Image"")"
-249,FLFO_010311B,Not Sure,
-250,FLFO_006733B,Plausible,
-252,CU_0478cu1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0478cu1/image.jpg"", ""View Image"")"
-253,CU_0789,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0789/image.jpg"", ""View Image"")"
-254,FLFO_004609,Plausible,
-255,FLFO_004603,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004603/image.jpg"", ""View Image"")"
-256,CU_0657,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0657/image.jpg"", ""View Image"")"
-257,FLFO_009708A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009708A/image.jpg"", ""View Image"")"
-258,FLFO_004565A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004565A/image.jpg"", ""View Image"")"
-259,FLFO_010321B,Plausible,
-260,CU_0410,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0410/image.jpg"", ""View Image"")"
-261,FLFO_004015A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004015A/image.jpg"", ""View Image"")"
-262,CU_0662cpt,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0662cpt/image.jpg"", ""View Image"")"
-263,CU_0830,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0830/image.jpg"", ""View Image"")"
-264,FLFO_011520A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011520A/image.jpg"", ""View Image"")"
-265,FLFO_006114A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006114A/image.jpg"", ""View Image"")"
-266,FLFO_003514,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003514/image.jpg"", ""View Image"")"
-267,FLFO_006872B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006872B/image.jpg"", ""View Image"")"
-269,CU_0740cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0740cu/image.jpg"", ""View Image"")"
-271,CU_0747cu1,Not Sure,
-272,CU_0619,Plausible,
-274,CU_0846,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0846/image.jpg"", ""View Image"")"
-275,CU_0906,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0906/image.jpg"", ""View Image"")"
-276,CU_0783,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0783/image.jpg"", ""View Image"")"
-278,FLFO_011096B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011096B/image.jpg"", ""View Image"")"
-279,FLFO_000126,Plausible,
-280,FLFO_010973B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010973B/image.jpg"", ""View Image"")"
-281,CU_0780,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0780/image.jpg"", ""View Image"")"
-282,FLFO_004600,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004600/image.jpg"", ""View Image"")"
-285,FLFO_010576A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010576A/image.jpg"", ""View Image"")"
-286,FLFO_003572A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003572A/image.jpg"", ""View Image"")"
-288,FLFO_002438,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002438/image.jpg"", ""View Image"")"
-289,FLFO_004597,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004597/image.jpg"", ""View Image"")"
-290,FLFO_004895A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004895A/image.jpg"", ""View Image"")"
-291,FLFO_006692,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006692/image.jpg"", ""View Image"")"
-292,FLFO_006146,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006146/image.jpg"", ""View Image"")"
-293,FLFO_004720B,Not Sure,
-294,CU_0332cu-2,Not Sure,
-295,CU_0652cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0652cu/image.jpg"", ""View Image"")"
-296,FLFO_011094B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011094B/image.jpg"", ""View Image"")"
-297,FLFO_002489A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002489A/image.jpg"", ""View Image"")"
-298,CU_0801cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0801cu/image.jpg"", ""View Image"")"
-299,FLFO_010262B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010262B/image.jpg"", ""View Image"")"
-300,FLFO_008571A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008571A/image.jpg"", ""View Image"")"
-301,CU_0657cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0657cu/image.jpg"", ""View Image"")"
-302,FLFO_011130,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011130/image.jpg"", ""View Image"")"
-303,CU_0336cpt,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0336cpt/image.jpg"", ""View Image"")"
-304,FLFO_006912B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006912B/image.jpg"", ""View Image"")"
-305,CU_0739cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0739cu/image.jpg"", ""View Image"")"
-306,FLFO_010168B_L1,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010168B_L1/image.jpg"", ""View Image"")"
-307,FLFO_003188,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003188/image.jpg"", ""View Image"")"
-308,CU_0833,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0833/image.jpg"", ""View Image"")"
-309,FLFO_006940A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006940A/image.jpg"", ""View Image"")"
-310,CU_0246,Not Sure,
-311,FLFO_002581B,Plausible,
-312,CU_0815,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0815/image.jpg"", ""View Image"")"
-313,FLFO_010311A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010311A/image.jpg"", ""View Image"")"
-314,FLFO_004935,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004935/image.jpg"", ""View Image"")"
-315,FLFO_004742A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004742A/image.jpg"", ""View Image"")"
-316,CU_0179,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0179/image.jpg"", ""View Image"")"
-317,FLFO_011745,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011745/image.jpg"", ""View Image"")"
-318,FLFO_008513,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008513/image.jpg"", ""View Image"")"
-320,CU_0721,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0721/image.jpg"", ""View Image"")"
-322,FLFO_004794,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004794/image.jpg"", ""View Image"")"
-323,FLFO_002786B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002786B/image.jpg"", ""View Image"")"
-326,FLFO_010576B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010576B/image.jpg"", ""View Image"")"
-327,CU_1033cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_1033cu/image.jpg"", ""View Image"")"
-328,CU_0833cu1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0833cu1/image.jpg"", ""View Image"")"
-330,FLFO_011199B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011199B/image.jpg"", ""View Image"")"
-331,FLFO_004895B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004895B/image.jpg"", ""View Image"")"
-332,FLFO_011094A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011094A/image.jpg"", ""View Image"")"
-334,CU_0244cu,Not Sure,
-335,FLFO_003350B,Not Sure,
-336,FLFO_011450B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011450B/image.jpg"", ""View Image"")"
-338,FLFO_002444B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002444B/image.jpg"", ""View Image"")"
-339,FLFO_011655,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011655/image.jpg"", ""View Image"")"
-340,FLFO_006174A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006174A/image.jpg"", ""View Image"")"
-341,CU_0118,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0118/image.jpg"", ""View Image"")"
-342,FLFO_008586B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008586B/image.jpg"", ""View Image"")"
-343,FLFO_002740B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002740B/image.jpg"", ""View Image"")"
-344,FLFO_003351A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003351A/image.jpg"", ""View Image"")"
-345,FLFO_006632B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006632B/image.jpg"", ""View Image"")"
-346,CU_0814,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0814/image.jpg"", ""View Image"")"
-348,FLFO_004844,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004844/image.jpg"", ""View Image"")"
-349,FLFO_002483,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002483/image.jpg"", ""View Image"")"
-350,FLFO_008564B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008564B/image.jpg"", ""View Image"")"
-351,FLFO_000888,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_000888/image.jpg"", ""View Image"")"
-353,FLFO_009791A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009791A/image.jpg"", ""View Image"")"
-354,FLFO_006961B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006961B/image.jpg"", ""View Image"")"
-355,CU_0673cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0673cu/image.jpg"", ""View Image"")"
-357,FLFO_011691,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011691/image.jpg"", ""View Image"")"
-358,FLFO_011049B_L1,Not Sure,
-359,CU_0772,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0772/image.jpg"", ""View Image"")"
-360,FLFO_011100B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011100B/image.jpg"", ""View Image"")"
-361,FLFO_008968A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008968A/image.jpg"", ""View Image"")"
-362,FLFO_003952B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003952B/image.jpg"", ""View Image"")"
-363,FLFO_003350A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003350A/image.jpg"", ""View Image"")"
-364,CU_0754cu,Not Sure,
-365,FLFO_003234,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003234/image.jpg"", ""View Image"")"
-366,CU_0741cu1,Not Sure,
-367,FLFO_011658,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011658/image.jpg"", ""View Image"")"
-368,CU_0798cu,Not Sure,
-370,CU_0882,Plausible,
-371,FLFO_003551,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003551/image.jpg"", ""View Image"")"
-372,CU_0818,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0818/image.jpg"", ""View Image"")"
-373,FLFO_005677B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005677B/image.jpg"", ""View Image"")"
-374,FLFO_008529A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008529A/image.jpg"", ""View Image"")"
-375,CU_0726,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0726/image.jpg"", ""View Image"")"
-377,CU_0503cu,Plausible,
-378,FLFO_010071A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010071A/image.jpg"", ""View Image"")"
-380,CU_0742,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0742/image.jpg"", ""View Image"")"
-381,FLFO_002767A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002767A/image.jpg"", ""View Image"")"
-384,FLFO_003231B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003231B/image.jpg"", ""View Image"")"
-385,FLFO_010744A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010744A/image.jpg"", ""View Image"")"
-388,FLFO_010252B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010252B/image.jpg"", ""View Image"")"
-389,FLFO_010052A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010052A/image.jpg"", ""View Image"")"
-390,FLFO_002769B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002769B/image.jpg"", ""View Image"")"
-391,CU_0513cu2,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0513cu2/image.jpg"", ""View Image"")"
-394,FLFO_011511,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011511/image.jpg"", ""View Image"")"
-395,CU_0830cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0830cu/image.jpg"", ""View Image"")"
-396,FLFO_010529B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010529B/image.jpg"", ""View Image"")"
-397,FLFO_010656B,Plausible,
-398,FLFO_003388A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003388A/image.jpg"", ""View Image"")"
-399,CU_0207,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0207/image.jpg"", ""View Image"")"
-400,FLFO_010790A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010790A/image.jpg"", ""View Image"")"
-401,FLFO_008511B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008511B/image.jpg"", ""View Image"")"
-402,CU_0769cu1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0769cu1/image.jpg"", ""View Image"")"
-403,FLFO_010459B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010459B/image.jpg"", ""View Image"")"
-404,FLFO_006078,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006078/image.jpg"", ""View Image"")"
-406,FLFO_011235B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011235B/image.jpg"", ""View Image"")"
-409,FLFO_006912A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006912A/image.jpg"", ""View Image"")"
-410,CU_0491cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0491cu/image.jpg"", ""View Image"")"
-411,FLFO_010656A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010656A/image.jpg"", ""View Image"")"
-412,FLFO_002879A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002879A/image.jpg"", ""View Image"")"
-413,CU_0820,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0820/image.jpg"", ""View Image"")"
-414,CU_0510,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0510/image.jpg"", ""View Image"")"
-416,CU_0197,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0197/image.jpg"", ""View Image"")"
-417,FLFO_004929,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004929/image.jpg"", ""View Image"")"
-418,FLFO_011029,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011029/image.jpg"", ""View Image"")"
-420,FLFO_003301A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003301A/image.jpg"", ""View Image"")"
-422,FLFO_003600A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003600A/image.jpg"", ""View Image"")"
-424,FLFO_002901A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002901A/image.jpg"", ""View Image"")"
-425,FLFO_008538B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008538B/image.jpg"", ""View Image"")"
-427,CU_0401cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0401cu/image.jpg"", ""View Image"")"
-428,FLFO_011305,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011305/image.jpg"", ""View Image"")"
-429,FLFO_006644A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006644A/image.jpg"", ""View Image"")"
-433,CU_0489cu,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0489cu/image.jpg"", ""View Image"")"
-434,CU_0805,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0805/image.jpg"", ""View Image"")"
-438,FLFO_003492B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003492B/image.jpg"", ""View Image"")"
-439,FLFO_011100A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011100A/image.jpg"", ""View Image"")"
-441,CU_0189,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0189/image.jpg"", ""View Image"")"
-442,FLFO_002786A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002786A/image.jpg"", ""View Image"")"
-443,CU_0454,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0454/image.jpg"", ""View Image"")"
-444,FLFO_011087B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011087B/image.jpg"", ""View Image"")"
-445,CU_0654,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0654/image.jpg"", ""View Image"")"
-447,CU_0729,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0729/image.jpg"", ""View Image"")"
-448,FLFO_002420B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002420B/image.jpg"", ""View Image"")"
-449,FLFO_002702,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002702/image.jpg"", ""View Image"")"
-450,FLFO_008590B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008590B/image.jpg"", ""View Image"")"
-451,FLFO_008995B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008995B/image.jpg"", ""View Image"")"
-452,CU_1032,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_1032/image.jpg"", ""View Image"")"
-453,CU_0741,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0741/image.jpg"", ""View Image"")"
-455,FLFO_004707B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004707B/image.jpg"", ""View Image"")"
-456,CU_0770,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0770/image.jpg"", ""View Image"")"
-458,CU_0896,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0896/image.jpg"", ""View Image"")"
-463,CU_0329,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0329/image.jpg"", ""View Image"")"
-464,CU_0901cpt,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0901cpt/image.jpg"", ""View Image"")"
-465,FLFO_010650B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010650B/image.jpg"", ""View Image"")"
-466,FLFO_003258,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003258/image.jpg"", ""View Image"")"
-467,CU_0686,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0686/image.jpg"", ""View Image"")"
-468,CU_0409,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0409/image.jpg"", ""View Image"")"
-469,CU_0122,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0122/image.jpg"", ""View Image"")"
-470,FLFO_003490A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003490A/image.jpg"", ""View Image"")"
-471,FLFO_002926A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002926A/image.jpg"", ""View Image"")"
-472,FLFO_010329A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010329A/image.jpg"", ""View Image"")"
-473,CU_0513,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0513/image.jpg"", ""View Image"")"
-474,FLFO_002597,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002597/image.jpg"", ""View Image"")"
-475,CU_0198cpt,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0198cpt/image.jpg"", ""View Image"")"
-476,CU_0440,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0440/image.jpg"", ""View Image"")"
-477,FLFO_010463A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010463A/image.jpg"", ""View Image"")"
-478,FLFO_010519A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010519A/image.jpg"", ""View Image"")"
-479,FLFO_010163B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010163B/image.jpg"", ""View Image"")"
-480,CU_0486,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0486/image.jpg"", ""View Image"")"
-481,FLFO_009675,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009675/image.jpg"", ""View Image"")"
-483,FLFO_002728,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002728/image.jpg"", ""View Image"")"
-485,CU_1364,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_1364/image.jpg"", ""View Image"")"
-486,CU_0902cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0902cu/image.jpg"", ""View Image"")"
-487,FLFO_011019A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011019A/image.jpg"", ""View Image"")"
-488,CU_0307,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0307/image.jpg"", ""View Image"")"
-489,CU_0687,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0687/image.jpg"", ""View Image"")"
-490,FLFO_009259,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009259/image.jpg"", ""View Image"")"
-491,CU_0448cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0448cu/image.jpg"", ""View Image"")"
-494,CU_0754,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0754/image.jpg"", ""View Image"")"
-495,FLFO_010423A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010423A/image.jpg"", ""View Image"")"
-496,FLFO_011361A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011361A/image.jpg"", ""View Image"")"
-497,CU_0745,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0745/image.jpg"", ""View Image"")"
-498,FLFO_006940B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006940B/image.jpg"", ""View Image"")"
-499,FLFO_010680B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010680B/image.jpg"", ""View Image"")"
-500,CU_0641,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0641/image.jpg"", ""View Image"")"
-502,FLFO_005584B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005584B/image.jpg"", ""View Image"")"
-503,FLFO_011133A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011133A/image.jpg"", ""View Image"")"
-504,FLFO_010409A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010409A/image.jpg"", ""View Image"")"
-505,FLFO_002682A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002682A/image.jpg"", ""View Image"")"
-506,CU_0461,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0461/image.jpg"", ""View Image"")"
-507,FLFO_011133B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011133B/image.jpg"", ""View Image"")"
-508,FLFO_011147B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011147B/image.jpg"", ""View Image"")"
-510,FLFO_010562B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010562B/image.jpg"", ""View Image"")"
-511,FLFO_008967,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008967/image.jpg"", ""View Image"")"
-512,FLFO_010168B_L3,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010168B_L3/image.jpg"", ""View Image"")"
-513,CU_0279,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0279/image.jpg"", ""View Image"")"
-514,FLFO_010806A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010806A/image.jpg"", ""View Image"")"
-515,FLFO_002741B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002741B/image.jpg"", ""View Image"")"
-516,FLFO_010459A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010459A/image.jpg"", ""View Image"")"
-519,FLFO_003152,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003152/image.jpg"", ""View Image"")"
-520,FLFO_010137,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010137/image.jpg"", ""View Image"")"
-521,FLFO_003175A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003175A/image.jpg"", ""View Image"")"
-522,CU_0809,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0809/image.jpg"", ""View Image"")"
-523,FLFO_011502B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011502B/image.jpg"", ""View Image"")"
-527,FLFO_010699A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010699A/image.jpg"", ""View Image"")"
-529,CU_0194cpt,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0194cpt/image.jpg"", ""View Image"")"
-531,FLFO_003240,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003240/image.jpg"", ""View Image"")"
-532,FLFO_011080A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011080A/image.jpg"", ""View Image"")"
-534,CU_0673,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0673/image.jpg"", ""View Image"")"
-535,CU_0833cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0833cu/image.jpg"", ""View Image"")"
-536,FLFO_004124A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004124A/image.jpg"", ""View Image"")"
-537,FLFO_005677A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005677A/image.jpg"", ""View Image"")"
-538,FLFO_011199A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011199A/image.jpg"", ""View Image"")"
-539,FLFO_011115A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011115A/image.jpg"", ""View Image"")"
-540,FLFO_003952A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003952A/image.jpg"", ""View Image"")"
-542,CU_0301cu1,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0301cu1/image.jpg"", ""View Image"")"
-543,CU_0512cu1,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0512cu1/image.jpg"", ""View Image"")"
-545,CU_0511,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0511/image.jpg"", ""View Image"")"
-547,FLFO_008571B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008571B/image.jpg"", ""View Image"")"
-548,FLFO_004443B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004443B/image.jpg"", ""View Image"")"
-549,FLFO_004708B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004708B/image.jpg"", ""View Image"")"
-550,FLFO_010662A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010662A/image.jpg"", ""View Image"")"
-551,FLFO_004519A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004519A/image.jpg"", ""View Image"")"
-553,FLFO_002703,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002703/image.jpg"", ""View Image"")"
-555,FLFO_010650A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010650A/image.jpg"", ""View Image"")"
-556,FLFO_009029B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009029B/image.jpg"", ""View Image"")"
-557,FLFO_004838A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004838A/image.jpg"", ""View Image"")"
-558,FLFO_010738A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010738A/image.jpg"", ""View Image"")"
-559,FLFO_010780A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010780A/image.jpg"", ""View Image"")"
-560,FLFO_011019B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011019B/image.jpg"", ""View Image"")"
-562,CU_0752,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0752/image.jpg"", ""View Image"")"
-563,FLFO_011025,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011025/image.jpg"", ""View Image"")"
-566,CU_0180,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0180/image.jpg"", ""View Image"")"
-567,FLFO_011518,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011518/image.jpg"", ""View Image"")"
-568,FLFO_010897A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010897A/image.jpg"", ""View Image"")"
-570,FLFO_009286,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009286/image.jpg"", ""View Image"")"
-571,FLFO_002623B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002623B/image.jpg"", ""View Image"")"
-572,FLFO_005678,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005678/image.jpg"", ""View Image"")"
-574,FLFO_009680,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009680/image.jpg"", ""View Image"")"
-576,FLFO_010993B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010993B/image.jpg"", ""View Image"")"
-577,FLFO_009859,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_009859/image.jpg"", ""View Image"")"
-578,FLFO_010031,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010031/image.jpg"", ""View Image"")"
-580,FLFO_004519B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004519B/image.jpg"", ""View Image"")"
-581,FLFO_010734B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010734B/image.jpg"", ""View Image"")"
-582,FLFO_006872A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006872A/image.jpg"", ""View Image"")"
-583,FLFO_010415A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010415A/image.jpg"", ""View Image"")"
-584,CU_0448,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0448/image.jpg"", ""View Image"")"
-586,CU_0198pt,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0198pt/image.jpg"", ""View Image"")"
-587,FLFO_010052B 2,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010052B 2/image.jpg"", ""View Image"")"
-588,FLFO_003180A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003180A/image.jpg"", ""View Image"")"
-590,FLFO_002868B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002868B/image.jpg"", ""View Image"")"
-591,FLFO_002676B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002676B/image.jpg"", ""View Image"")"
-592,FLFO_010347A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010347A/image.jpg"", ""View Image"")"
-593,FLFO_002743A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002743A/image.jpg"", ""View Image"")"
-595,FLFO_004608,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004608/image.jpg"", ""View Image"")"
-596,FLFO_008564A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008564A/image.jpg"", ""View Image"")"
-597,CU_0810,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0810/image.jpg"", ""View Image"")"
-598,FLFO_011181,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011181/image.jpg"", ""View Image"")"
-599,FLFO_002709,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002709/image.jpg"", ""View Image"")"
-602,CU_0214,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0214/image.jpg"", ""View Image"")"
-603,CU_0652,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0652/image.jpg"", ""View Image"")"
-604,CU_0247,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0247/image.jpg"", ""View Image"")"
-606,FLFO_004708A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_004708A/image.jpg"", ""View Image"")"
-607,FLFO_011520B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_011520B/image.jpg"", ""View Image"")"
-901,FLFO_003420A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_003420A/image.jpg"", ""View Image"")"
-902,CU_0387,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0387/image.jpg"", ""View Image"")"
-903,FLFO_000095,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_000095/image.jpg"", ""View Image"")"
-904,CU_0157,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0157/image.jpg"", ""View Image"")"
-905,FLFO_002638A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002638A/image.jpg"", ""View Image"")"
-910,CU_0753,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0753/image.jpg"", ""View Image"")"
-911,CU_0770cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0770cu/image.jpg"", ""View Image"")"
-913,FLFO_010519B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010519B/image.jpg"", ""View Image"")"
-914,CU_0743cu1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0743cu1/image.jpg"", ""View Image"")"
-915,CU_0122cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0122cu/image.jpg"", ""View Image"")"
-917,FLFO_002489B,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002489B/image.jpg"", ""View Image"")"
-919,FLFO_008977,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_008977/image.jpg"", ""View Image"")"
-920,CU_0693cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0693cu/image.jpg"", ""View Image"")"
-922,CU_0192cu2,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0192cu2/image.jpg"", ""View Image"")"
-927,CU_0798,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0798/image.jpg"", ""View Image"")"
-928,FLFO_002869A,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_002869A/image.jpg"", ""View Image"")"
-929,FLFO_010973A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010973A/image.jpg"", ""View Image"")"
-930,FLFO_006689,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006689/image.jpg"", ""View Image"")"
-931,CU_0779,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0779/image.jpg"", ""View Image"")"
-932,CU_0489cu1,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0489cu1/image.jpg"", ""View Image"")"
-934,FLFO_010429,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010429/image.jpg"", ""View Image"")"
-938,CU_0902,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0902/image.jpg"", ""View Image"")"
-939,FLFO_010308A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_010308A/image.jpg"", ""View Image"")"
-940,FLFO_006939B,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_006939B/image.jpg"", ""View Image"")"
-942,CU_0752cu,Not Sure,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/CU_0752cu/image.jpg"", ""View Image"")"
-943,FLFO_005672A,Plausible,"=HYPERLINK(""https://storage.googleapis.com/serrelab/fossil_lens/inference_concepts2/FLFO_005672A/image.jpg"", ""View Image"")"
-945,FLFO_009700,Plausible,
-949,FLFO_011574A,Plausible,
-950,FLFO_009028,Plausible,
-952,FLFO_010695,Plausible,
-953,FLFO_009252A,Plausible,
-956,FLFO_006246A,Not Sure,
-960,FLFO_004112A,Not Sure,
-962,FLFO_011657,Plausible,
-964,FLFO_002771A,Not Sure,
-965,FLFO_002921A,Plausible,
-966,FLFO_010948,Not Sure,
-967,FLFO_002586A,Plausible,
-968,FLFO_002894B,Plausible,
-969,FLFO_005783A,Plausible,
-970,FLFO_003622,Plausible,
-972,FLFO_004839A,Not Sure,
-973,FLFO_010064B,Not Sure,
-977,FLFO_002664,Not Sure,
-979,FLFO_008986,Not Sure,
-983,FLFO_009702,Not Sure,
-986,FLFO_000441,Plausible,
-987,FLFO_004466A,Not Sure,
-991,FLFO_010895B,Not Sure,
-993,FLFO_002600,Plausible,
-994,FLFO_008554A_L1,Not Sure,
-995,FLFO_008889B,Not Sure,
-996,FLFO_008992A,Plausible,
-997,FLFO_010977,Not Sure,
-998,FLFO_010689A,Not Sure,
-999,FLFO_011679B,Not Sure,
-1000,FLFO_005644,Not Sure,
-1001,FLFO_009054A-2,Plausible,
-1002,FLFO_005553A,Not Sure,
-1006,FLFO_004860B,Plausible,
-1009,FLFO_008887,Not Sure,
-1012,FLFO_008541A,Plausible,
-1015,FLFO_003134,Plausible,
-1017,FLFO_010756A,Not Sure,
-1018,FLFO_002988,Not Sure,
-1021,FLFO_004904,Not Sure,
-1025,FLFO_011662A,Plausible,
-1027,FLFO_011134,Plausible,
-1029,FLFO_006854B,Plausible,
-1030,FLFO_002627A,Plausible,
-1039,FLFO_004854,Not Sure,
-1041,FLFO_009591A,Plausible,
-1053,FLFO_011122A,Not Sure,
-1054,FLFO_009267B,Not Sure,
-1055,FLFO_004641B,Not Sure,
-1057,FLFO_006700B,Not Sure,
-1058,FLFO_007123A_L,Not Sure,
-1059,FLFO_011185,Not Sure,
-1062,FLFO_004563,Not Sure,
-1063,CU_0549,Plausible,
-1064,FLFO_003279A,Not Sure,
-1070,FLFO_002691B,Not Sure,
-1072,FLFO_004454,Not Sure,
-1073,FLFO_003137A,Plausible,
-1074,FLFO_010388A,Not Sure,
-1076,FLFO_004353A,Not Sure,
-1077,FLFO_006428 Petiole,Not Sure,
-1078,FLFO_009607,Not Sure,
-1080,FLFO_004635A,Not Sure,
-1081,FLFO_002450,Not Sure,
-1085,FLFO_004554B,Not Sure,
-1088,FLFO_010375B,Plausible,
-1089,CU_0530cpt,Plausible,
-1093,FLFO_009077A,Plausible,
-1096,FLFO_009043,Plausible,
-1099,FLFO_010162,Not Sure,
-1101,CU_0331cu,Not Sure,
-1102,FLFO_011265B,Plausible,
-1103,FLFO_008570B,Not Sure,
-1106,FLFO_008554A_L2,Not Sure,
-1107,FLFO_010820,Plausible,
-1108,FLFO_002897A,Not Sure,
-1109,FLFO_003345,Not Sure,
-1111,FLFO_004560,Plausible,
-1112,FLFO_008840,Plausible,
-1113,FLFO_010211A,Plausible,
-1115,FLFO_006949B,Not Sure,
-1116,FLFO_010797,Plausible,
-1118,FLFO_006144A,Not Sure,
-1119,FLFO_010110,Not Sure,
-1120,FLFO_010727B,Plausible,
-1124,CU_0310-1,Plausible,
-1125,FLFO_011612,Not Sure,
-1127,FLFO_010140,Not Sure,
-1129,FLFO_002631A,Not Sure,
-1130,FLFO_010872A,Not Sure,
-1132,FLFO_006373B,Not Sure,
-1135,FLFO_010342B,Plausible,
-1136,FLFO_005578A,Not Sure,
-1137,FLFO_000530,Not Sure,
-1139,FLFO_003228B,Not Sure,
-1140,FLFO_008822B,Plausible,
-1145,FLFO_011391A,Not Sure,
-1146,FLFO_011373_L,Plausible,
-1149,FLFO_010088A,Plausible,
-1152,FLFO_009747B,Not Sure,
-1155,FLFO_006296_L1,Plausible,
-1156,FLFO_004363,Plausible,
-1157,FLFO_010849B,Not Sure,
-1158,FLFO_005645,Not Sure,
-1159,FLFO_009063,Plausible,
-1164,FLFO_004839B,Not Sure,
-1165,FLFO_009150B,Plausible,
-1167,FLFO_009033,Plausible,
-1169,FLFO_004690,Not Sure,
-1170,FLFO_006424B,Plausible,
-1171,FLFO_008557A,Plausible,
-1173,FLFO_009715A,Not Sure,
-1174,FLFO_011320,Plausible,
-1175,FLFO_006866A,Plausible,
-1176,FLFO_003339A,Not Sure,
-1178,FLFO_011575B,Plausible,
-1180,FLFO_003593A,Not Sure,
-1182,FLFO_010953,Not Sure,
-1183,FLFO_003811,Not Sure,
-1185,FLFO_011463,Not Sure,
-1189,FLFO_011501B,Plausible,
-1190,FLFO_010942,Plausible,
-1192,FLFO_000529,Not Sure,
-1193,FLFO_002892A,Not Sure,
-1196,FLFO_004931,Plausible,
-1198,FLFO_008554B,Not Sure,
-1199,FLFO_006120B,Not Sure,
-1200,FLFO_002626B,Not Sure,
-1201,FLFO_006726B,Not Sure,
-1202,FLFO_003302,Not Sure,
-1203,FLFO_006369B,Not Sure,
-1205,FLFO_010740A,Not Sure,
-1206,FLFO_010210B,Not Sure,
-1207,FLFO_011200A,Not Sure,
-1208,FLFO_010022A,Not Sure,
-1210,FLFO_011120B,Not Sure,
-1211,CU_0584,Not Sure,
-1212,FLFO_004401,Not Sure,
-1213,FLFO_010277B,Plausible,
-1214,FLFO_004822,Not Sure,
-1216,FLFO_011046B,Plausible,
-1217,FLFO_010594,Plausible,
-1218,FLFO_011152A,Not Sure,
-1220,FLFO_004765A,Plausible,
-1221,FLFO_009074,Not Sure,
-1222,FLFO_009017,Not Sure,
-1226,FLFO_002873A,Plausible,
-1228,CU_1370,Not Sure,
-1230,FLFO_002467B,Not Sure,
-1231,FLFO_004242,Not Sure,
-1236,FLFO_003412A,Plausible,
-1237,FLFO_011360A,Not Sure,
-1239,FLFO_009689,Not Sure,
-1240,FLFO_011387,Not Sure,
-1243,FLFO_011558,Not Sure,
-1244,FLFO_004126B,Not Sure,
-1245,FLFO_006296,Plausible,
-1246,FLFO_011170,Not Sure,
-1247,FLFO_010548B,Not Sure,
-1248,FLFO_011037B,Not Sure,
-1253,FLFO_010740B,Plausible,
-1254,FLFO_010870A,Not Sure,
-1257,FLFO_011004,Not Sure,
-1258,FLFO_004671,Not Sure,
-1259,FLFO_004334B,Plausible,
-1260,FLFO_000440,Plausible,
-1263,FLFO_000842,Not Sure,
-1264,FLFO_003308,Not Sure,
-1268,CU_0677cu,Not Sure,
-1272,FLFO_004900,Not Sure,
-1274,FLFO_009139_1,Plausible,
-1275,FLFO_011046A,Plausible,
-1276,FLFO_010720A,Not Sure,
-1277,CU_0581,Not Sure,
-1283,FLFO_010552A,Not Sure,
-1284,FLFO_003235,Not Sure,
-1285,FLFO_003248,Not Sure,
-1287,FLFO_000536,Plausible,
-1290,CU_0582,Not Sure,
-1292,FLFO_009370,Not Sure,
-1294,FLFO_008604B,Not Sure,
-1296,FLFO_010591B,Not Sure,
-1297,FLFO_004719A,Not Sure,
-1298,FLFO_009697,Plausible,
-1299,FLFO_002718,Plausible,
-1301,FLFO_005647B,Plausible,
-1302,FLFO_010088B,Plausible,
-1304,FLFO_008991B,Plausible,
-1305,FLFO_010548A,Not Sure,
-1307,FLFO_011363,Plausible,
-1309,FLFO_010095,Plausible,
-1310,FLFO_010208,Plausible,
-1316,FLFO_006956,Plausible,
-1317,FLFO_008526A,Not Sure,
-1318,CU_0296cptcu,Plausible,
-1320,FLFO_011516A,Not Sure,
-1322,FLFO_004112B,Plausible,
-1324,FLFO_006361B,Not Sure,
-1326,FLFO_008503B,Not Sure,
-1329,FLFO_010342A_L2,Not Sure,
-1330,FLFO_006648,Plausible,
-1331,FLFO_002803A,Not Sure,
-1332,FLFO_004278A,Plausible,
-1334,FLFO_009979,Not Sure,
-1335,FLFO_006152,Not Sure,
-1338,FLFO_006176,Not Sure,
-1339,FLFO_006861B,Not Sure,
-1340,FLFO_002669,Not Sure,
-1341,FLFO_003759,Not Sure,
-1342,FLFO_008503A,Not Sure,
-1346,FLFO_003287B,Plausible,
-1347,FLFO_002866A,Plausible,
-1349,CU_0320,Plausible,
-1350,FLFO_003279B,Plausible,
-1352,FLFO_002828,Plausible,
-1354,FLFO_002768B,Not Sure,
-1355,FLFO_009676,Plausible,
-1361,FLFO_002940,Plausible,
-1362,FLFO_010064A,Plausible,
-1363,FLFO_008557B,Not Sure,
-1364,FLFO_002724,Plausible,
-1368,FLFO_011681,Not Sure,
-1369,FLFO_006627,Plausible,
-1370,FLFO_002739B,Plausible,
-1372,FLFO_005710A,Not Sure,
-1373,FLFO_010401A,Plausible,
-1374,FLFO_009054B,Plausible,
-1376,CU_0583,Not Sure,
-1378,FLFO_008992B,Not Sure,
-1381,FLFO_011107B,Not Sure,
-1383,FLFO_005647A,Plausible,
-1384,FLFO_006092B,Not Sure,
-1385,FLFO_009594B,Plausible,
-1387,FLFO_002439,Plausible,
-1388,FLFO_010077B,Not Sure,
-1391,FLFO_002602,Plausible,
-1392,FLFO_009137B,Plausible,
-1393,FLFO_008982B,Not Sure,
-1394,FLFO_004835B,Plausible,
-1395,FLFO_006142,Not Sure,
-1396,FLFO_004615,Not Sure,
-1397,FLFO_002583,Plausible,
-1398,FLFO_002892B,Not Sure,
-1399,FLFO_011050B_L2,Plausible,
-1400,CU_0531cu1,Plausible,
-1401,FLFO_002627B,Plausible,
-1405,FLFO_010136,Not Sure,
-1406,FLFO_010800B,Plausible,
-1407,FLFO_006159_L2,Plausible,
-1409,FLFO_009283,Plausible,
-1412,FLFO_000838,Plausible,
-1413,FLFO_009151B,Not Sure,
-1416,FLFO_000523 2,Not Sure,
-1417,FLFO_010076A,Not Sure,
-1418,FLFO_011172,Plausible,
-1420,FLFO_006846A,Plausible,
-1424,FLFO_011201_2,Plausible,
-1425,FLFO_010756B,Not Sure,
-1427,FLFO_009050,Plausible,
-1428,FLFO_010470B,Not Sure,
-1429,FLFO_004340A,Not Sure,
-1431,FLFO_009073,Plausible,
-1433,FLFO_003412B,Plausible,
-1435,FLFO_010211B,Not Sure,
-1437,FLFO_010919B,Not Sure,
-1438,FLFO_009079,Plausible,
-1442,FLFO_004870,Plausible,
-1444,FLFO_004852,Not Sure,
-1445,FLFO_004350A,Not Sure,
-1450,FLFO_006129,Plausible,
-1453,FLFO_011002A,Not Sure,
-1455,FLFO_006339,Plausible,
-1456,FLFO_010180B,Plausible,
-1460,FLFO_003414,Plausible,
-1461,FLFO_001051,Plausible,
-1462,FLFO_009591B,Plausible,
-1463,CU_1362,Plausible,
-1464,FLFO_010063B,Plausible,
-1467,FLFO_002625A,Plausible,
-1468,FLFO_004679A,Plausible,
-1469,FLFO_005669B,Plausible,
-1471,FLFO_0011648_1,Plausible,
-1474,FLFO_003339B,Plausible,
-1475,FLFO_000848,Not Sure,
-1477,FLFO_000850,Plausible,
-1478,FLFO_002390,Not Sure,
-1483,FLFO_009833B,Plausible,
-1487,FLFO_009372A,Plausible,
-1488,FLFO_011128,Plausible,
-1489,FLFO_009051B,Plausible,
-1490,FLFO_008583B,Plausible,
-1493,FLFO_003775,Plausible,
-1500,FLFO_004864,Not Sure,
-1501,FLFO_002698A,Plausible,
-1502,FLFO_009715B,Plausible,
-1503,FLFO_002467A,Plausible,
-1505,FLFO_004778B,Plausible,
-1509,FLFO_010209B,Plausible,
-1510,FLFO_010947,Plausible,
-1512,FLFO_011391B,Not Sure,
-1513,FLFO_010552B,Not Sure,
-1515,FLFO_008577A,Plausible,
-1517,FLFO_004334A,Not Sure,
-1518,CU_0123cu,Not Sure,
-1520,FLFO_004776,Plausible,
-1528,CU_0532,Plausible,
-1534,FLFO_005646A,Plausible,
-1535,CU_0331,Not Sure,
-1536,FLFO_006421B,Plausible,
-1538,FLFO_009256B,Not Sure,
-1539,FLFO_009038,Plausible,
-1542,FLFO_010361A,Not Sure,
-1543,FLFO_009150A,Plausible,
-1544,FLFO_003445B,Not Sure,
-1546,FLFO_008983B,Not Sure,
-1547,FLFO_011236_L,Plausible,
-1548,FLFO_010206A,Not Sure,
-1549,FLFO_009706A,Not Sure,
-1551,FLFO_000522,Not Sure,
-1552,FLFO_011037A,Not Sure,
-1553,FLFO_011352B,Not Sure,
-1554,FLFO_006695B,Not Sure,
-1555,FLFO_010209A,Not Sure,
-1556,FLFO_008541B,Plausible,
-1557,FLFO_008876_L,Not Sure,
-1558,FLFO_006699A,Plausible,
-1559,FLFO_009315B,Plausible,
-1561,FLFO_004781,Not Sure,
-1562,FLFO_002625B,Not Sure,
-1563,FLFO_002679B,Not Sure,
-1566,FLFO_008961,Not Sure,
-1567,FLFO_006144B,Not Sure,
-1568,FLFO_011509,Not Sure,
-1571,FLFO_010710A,Not Sure,
-1572,FLFO_006339 copy,Plausible,
-1575,FLFO_010218A,Plausible,
-1576,FLFO_002694A,Not Sure,
-1578,FLFO_011473,Plausible,
-1579,CU_0546cu,Plausible,
-1584,CU_0583cu,Plausible,
-1585,FLFO_002458,Plausible,
-1588,FLFO_002609A,Plausible,
-1591,FLFO_003466A,Not Sure,
-1594,FLFO_009023,Plausible,
-1595,FLFO_006876B,Not Sure,
-1599,FLFO_006369A,Not Sure,
-1602,FLFO_010958B,Not Sure,
-1603,FLFO_006428,Not Sure,
-1604,FLFO_011575A,Not Sure,
-1605,FLFO_004719B,Not Sure,
-1606,FLFO_009016,Plausible,
-1611,FLFO_008554B_L2,Not Sure,
-1612,FLFO_008723,Plausible,
-1613,FLFO_009069,Plausible,
-1616,FLFO_010216,Plausible,
-1617,FLFO_0011648,Not Sure,
-1619,FLFO_009152,Plausible,
-1632,FLFO_010470A,Not Sure,
-1633,FLFO_009071,Not Sure,
-1636,CU_0518,Plausible,
-1640,FLFO_002894A,Plausible,
-1644,FLFO_009057,Plausible,
-1645,FLFO_009078,Plausible,
-1647,FLFO_005690B,Not Sure,
-1649,FLFO_009042,Plausible,
-1651,FLFO_011174,Not Sure,
-1655,FLFO_009012,Not Sure,
-1658,FLFO_010895A,Not Sure,
-1659,FLFO_008821B,Not Sure,
-1660,FLFO_010640A,Not Sure,
-1661,FLFO_010093B,Not Sure,
-1665,FLFO_003771A,Not Sure,
-1666,FLFO_006861A,Not Sure,
-1667,FLFO_000844,Plausible,
-1668,FLFO_009052B,Plausible,
-1672,FLFO_009983,Not Sure,
-1673,FLFO_008775,Plausible,
-1675,FLFO_004624,Plausible,
-1676,FLFO_011161A,Plausible,
-1684,FLFO_011124B,Plausible,
-1686,FLFO_010361B,Not Sure,
-1689,FLFO_008888,Not Sure,
-1690,FLFO_004847A,Not Sure,
-1695,FLFO_010771A,Not Sure,
-1698,CU_0310,Not Sure,
-1699,FLFO_006373A,Not Sure,
-1703,FLFO_010884,Not Sure,
-1704,FLFO_003395B,Not Sure,
-1708,FLFO_004819,Plausible,
-1709,CU_0546,Plausible,
-1711,FLFO_004337A,Not Sure,
-1717,FLFO_009130B,Plausible,
-1718,FLFO_002739A,Plausible,
-1722,FLFO_003294A,Plausible,

recompute_embeddings_2024.py

@@ -0,0 +1,100 @@
+import os
+from typing import List
+
+import numpy as np
+from PIL import Image
+
+from app import get_model
+from inference_resnet_v2 import inference_resnet_embedding_v2
+
+
+# Base directory containing 2024 data.
+BASE_DIR = "/Users/pipe/Documents/Brown/Fossils/2024"
+
+# Subfolders to use for fossil similarity embeddings (fossils path).
+FOSSIL_ROOTS = [
+    os.path.join(BASE_DIR, "Florissant_Fossil_v2.0"),
+    os.path.join(BASE_DIR, "General_Fossil_v2.0"),
+]
+
+# Output locations (relative to fossil_app/ when run from there).
+EMBEDDINGS_NPY = os.path.join("dataset", "embedding_fossils_142_2024_fossils.npy")
+PATHS_TXT = os.path.join("dataset", "embedding_fossils_142_2024_fossils_paths.txt")
+
+
+def iter_image_paths(roots: List[str]) -> List[str]:
+    """Collect all image paths under the given roots."""
+    exts = (".jpg", ".jpeg", ".png", ".webp")
+    paths: List[str] = []
+    for root in roots:
+        if not os.path.isdir(root):
+            print(f"WARNING: root directory not found: {root}")
+            continue
+        for dirpath, _, filenames in os.walk(root):
+            for fn in filenames:
+                if not fn.lower().endswith(exts):
+                    continue
+
+                stem, _ = os.path.splitext(fn)
+                stem_lower = stem.lower()
+
+                # Skip "unidentified" and "II." IDs if they appear
+                if stem_lower.startswith("unidentified") or stem.startswith("II."):
+                    print(f"SKIP (unidentified / II.* ID): {os.path.join(dirpath, fn)}")
+                    continue
+
+                # We are already scoping to Extant_Leaves via FOSSIL_ROOTS,
+                # so we accept all remaining JPG/PNG/WEBP files here.
+                paths.append(os.path.join(dirpath, fn))
+    return sorted(paths)
+
+
+def load_image_rgb(path: str) -> np.ndarray:
+    """Load an image from disk as RGB numpy array."""
+    img = Image.open(path).convert("RGB")
+    return np.array(img, dtype=np.uint8)
+
+
+def main() -> None:
+    os.makedirs(os.path.dirname(EMBEDDINGS_NPY), exist_ok=True)
+
+    # Load the latest Fossils 142 model via the same helper the app uses.
+    model, n_classes = get_model("Fossils 142")
+    print(f"Loaded model for 'Fossils 142' with {n_classes} classes.")
+
+    image_paths = iter_image_paths(FOSSIL_ROOTS)
+    print(f"Found {len(image_paths)} images under {BASE_DIR}.")
+    if not image_paths:
+        print("No images found. Check BASE_DIR and FOSSIL_ROOTS paths.")
+        return
+
+    embeddings: List[np.ndarray] = []
+
+    # Open path mapping file for reproducibility.
+    with open(PATHS_TXT, "w", encoding="utf-8") as f_paths:
+        for idx, path in enumerate(image_paths):
+            if idx % 100 == 0:
+                print(f"[{idx}/{len(image_paths)}] Processing {path}")
+            try:
+                img = load_image_rgb(path)
+                emb = inference_resnet_embedding_v2(
+                    img, model, size=384, n_classes=n_classes
+                )
+                embeddings.append(emb.astype(np.float32))
+                f_paths.write(path + "\n")
+            except Exception as e:
+                print(f"ERROR processing {path}: {e}")
+
+    if not embeddings:
+        print("No embeddings were computed.")
+        return
+
+    embs_arr = np.stack(embeddings, axis=0)
+    np.save(EMBEDDINGS_NPY, embs_arr)
+    print(f"Saved embeddings array {embs_arr.shape} to {EMBEDDINGS_NPY}")
+    print(f"Saved path list to {PATHS_TXT}")
+
+
+if __name__ == "__main__":
+    main()
+