Update README.md

README.md

@@ -23,6 +23,12 @@ This model was trained to detect and segment fish in underwater **Grayscale Imag
 - **Footage Type**: Grayscale Underwater Footage
 - **Classes**: 1 (Fish)
 
+## Test Results
+![GIF description](./yolo11n-seg.gif)
+
+## Model Weights
+Download the model weights [here](./yolo11n_fish_seg_trained.pt)
+
 ## Auto-Training Process
 The segmentation dataset was generated using an automated pipeline:
 - **Detection Model**: A pre-trained YOLO model (https://huggingface.co/akridge/yolo11-fish-detector-grayscale/) was used to detect fish.
@@ -30,10 +36,6 @@ The segmentation dataset was generated using an automated pipeline:
 - **Output**: The dataset was saved at `/content/sam_dataset/`.
 
 This automated process allowed for efficient mask generation without manual annotation, facilitating faster dataset creation.
-
-## Model Weights
-Download the model weights [here](./yolo11n_fish_seg_trained.pt)
-
 ## Intended Use
 - Real-time fish detection and segmentation on grayscale underwater imagery.
 - Post-processing of video or images for research purposes in marine biology and ecosystem monitoring.