Underwater Plastic dataset
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The dataset was generated using the Roboflow platform. The annotations are compatible with the PyTorch YOLOv5 architecture. <em><strong>Dataset details:</strong></em> <strong># Images:</strong> 1220 images <strong>Image Split:</strong> Train / Test Split: 92 Training Set: 1.1k <strong>Preprocessing</strong> Auto-Orient: Applied Resize: Stretch to 416x416 Augmentations Outputs per training example: 5 Flip: Horizontal, Vertical Crop: 0% Minimum Zoom, 49% Maximum Zoom Grayscale: Apply to 47% of images Hue: Between -25° and +25° Saturation: Between -42% and +42% Exposure: Between -22% and +22% Blur: Up to 3.25px Cutout: 8 boxes with 10% size each Mosaic: Applied Details Version Name: 2022-07-24 12:50am Version ID: 1 Generated: Jul 24, 2022
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Machado, Pedro创建时间：
2022-07-26
