Dataset Versions

v1

2023-07-26 5:09am

Generated on Jul 26, 2023

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 88%
201Images
Valid Set 8%
19Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 25% of images
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 0.75px
Noise: Up to 3% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied

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