Update README.md

README.md

@@ -1,34 +1,44 @@
----
-license: cc-by-nc-4.0
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: annotations
-    list:
-    - name: class_id
-      dtype: int64
-    - name: segmentation
-      sequence:
-        sequence:
-          sequence: float64
-  splits:
-  - name: train
-    num_bytes: 103638330.0
-    num_examples: 82
-  - name: valid
-    num_bytes: 26074864.0
-    num_examples: 21
-  download_size: 124824112
-  dataset_size: 129713194.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: valid
-    path: data/valid-*
----
+---
+license: cc-by-nc-4.0
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: annotations
+    list:
+    - name: class_id
+      dtype: int64
+    - name: segmentation
+      sequence:
+        sequence:
+          sequence: float64
+  splits:
+  - name: train
+    num_bytes: 103638330
+    num_examples: 82
+  - name: valid
+    num_bytes: 26074864
+    num_examples: 21
+  download_size: 124824112
+  dataset_size: 129713194
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: valid
+    path: data/valid-*
+task_categories:
+- image-segmentation
+tags:
+- seafood-processing
+- food_proccesin
+- industrial-vision
+- fish
+pretty_name: FishGrade
+size_categories:
+- 1K<n<10K
+---
 
 
 
@@ -36,10 +46,10 @@ configs:
 # Vision-Guided Robotic System for Automatic Fish Quality Grading and Packaging 
 This dataset contains images and corresponding (yolo format) instance segmentation annotations of (hake) fish steaks as they move along a conveyor belt in an industrial setting. 
 Moreover, it also contains the BAG files (recorded using Realsense D456) of two fish steak grades (A and B). The A steaks are typically larger than B steaks.
-In our paper (link below). We applied instance segmentation to isolate the fish steaks based on YOLOv8 (Check [here](https://docs.ultralytics.com/models/yolov8/) how to train and validate the model). 
+In our paper (link below). We applied instance segmentation to isolate the fish steaks based on YOLOv8 (Check [here](https://docs.ultralytics.com/models/yolov8/)) how to train and validate the model). 
 Once the fish steaks are segmented, we simply measure their size by leveraging the depth data contained in the BAG files.
 
-🤗 [Paper on Hugging Face]Coming soon ...   |   📝 [Paper on ArXiv] Coming soon ...
+🤗 [Paper on Hugging Face] Coming soon ...   |   📝 [Paper on ArXiv] Coming soon ...
 
 ## 🗂️ BAG files & trained segmentation model:
 Please, first read the paper to comprehend the proposed pipeline.
@@ -202,8 +212,8 @@ if __name__ == '__main__':
 
 ## 🗂️ Data Instances
 <figure style="display:flex; gap:10px; flex-wrap:wrap; justify-content:center;">
-  <img src="Figure_1.png" width="45%" alt="Raspberry Example 1">
-  <img src="Figure_2.png" width="45%" alt="Raspberry Example 2">
+  <img src="Figure_1.png" width="47%" alt="Raspberry Example 1">
+  <img src="Figure_2.png" width="47%" alt="Raspberry Example 2">
 </figure>
 
 ## 🏷️ Annotation Format