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About A Comparison of YOLO and Mask R-CNN For Segmenting Head and Tail of Fish
The document compares the performance of YOLO and Mask R-CNN models for segmenting the head and tail of fish to support automated fish freshness classification. It reviews related work applying object detection methods like YOLO, Faster R-CNN, and Mask R-CNN for tasks such as fruit maturity detection. The study evaluates YOLO and Mask R-CNN on a dataset of 200 fish images annotated with 724 heads and 585 tails. Results show YOLO achieved 98.96% precision, 80.93% recall and 80.12% mAP, outperforming Mask R-CNN which obtained 96.73% precision, 75.43% recall and 73.39% mAP. YO
Detailed Information
| Author: | ['Demon Youth'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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