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@@ -11,7 +11,7 @@ FishDet-M is the largest unified benchmark dataset for fish detection in diverse
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  - **πŸ“Š Dataset Scale**: 105,556 images with 296,885 annotated fish instances
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  - **🌊 Diverse Environments**: Marine, brackish, aquarium, and occluded scenes
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- - **🎯 Unified Format**: COCO-style annotations with bounding boxes and segmentation masks
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  - **πŸ€– 28 Models Evaluated**: Including YOLOv8-v12, DETR, R-CNN variants, and more
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  - **🧠 CLIP-Based Selection**: Automatic model selection using vision-language alignment
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  - **πŸ“Š Dataset Scale**: 105,556 images with 296,885 annotated fish instances
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  - **🌊 Diverse Environments**: Marine, brackish, aquarium, and occluded scenes
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+ - **🎯 Unified Format**: COCO-style annotations with bounding boxes
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  - **πŸ€– 28 Models Evaluated**: Including YOLOv8-v12, DETR, R-CNN variants, and more
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  - **🧠 CLIP-Based Selection**: Automatic model selection using vision-language alignment
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