Published July 26, 2022
| Version 1.0
Dataset
Open
Underwater Plastic dataset
Description
The dataset was generated using the Roboflow platform. The annotations are compatible with the PyTorch YOLOv5 architecture.
Dataset details:
# Images: 1220 images
Image Split:
Train / Test Split: 92
Training Set: 1.1k
Preprocessing
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
Files
UPD.v1.yolov5pytorch.zip
Files
(23.7 MB)
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