Update README.md

README.md

@@ -53,7 +53,48 @@ Note that the annotations follow the YOLO instance segmentation format.
 Please refer to [this page](https://docs.ultralytics.com/datasets/segment/) for more info.
 
 ## 🧪 How to use
-Coming soon ...
+from datasets import load_dataset
+import matplotlib.pyplot as plt
+import random
+import numpy as np
+
+def show_example(dataset):
+    example = dataset[random.randint(0, len(dataset) - 1)]
+    image = example["image"].convert("RGB")
+    annotations = example["annotations"]
+    width, height = image.size
+
+    fig, ax = plt.subplots(1)
+    ax.imshow(image)
+
+    num_instances = len(annotations)
+    colors = plt.cm.get_cmap('viridis', num_instances)
+
+    if annotations:
+        for i, annotation in enumerate(annotations):
+            class_id = annotation["class_id"]
+            segmentation = annotation.get("segmentation")
+            if segmentation and len(segmentation) > 0:
+                polygon_norm = segmentation[0]
+                if polygon_norm:
+                    polygon_abs = np.array([(p[0] * width, p[1] * height) for p in polygon_norm])
+                    x, y = polygon_abs[:, 0], polygon_abs[:, 1]
+                    color = colors(i)
+                    ax.fill(x, y, color=color, alpha=0.5)
+
+    plt.title(f"Example with {len(annotations)} instances")
+    plt.axis('off')
+    plt.show()
+
+if __name__ == "__main__":
+    dataset_name = "MohamedTEV/FishGrade"
+    try:
+        fish_dataset = load_dataset(dataset_name, split="train")
+        print(fish_dataset)
+        show_example(fish_dataset)
+    except Exception as e:
+        print(f"Error loading or displaying the dataset: {e}")
+        print(f"Make sure the dataset '{dataset_name}' exists and is public, or you are logged in if it's private.")
 
 
 ## 🙏 Acknowledgement