Dataset Versions

v8

yolov5s4

Generated on Jan 18, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 85%
3495Images
Valid Set 11%
434Images
Test Set 4%
167Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 41% Maximum Zoom
Grayscale: Apply to 50% of images
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 10% of pixels

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