Dataset Versions

v1

2022-11-29 2:18am

Generated on Nov 28, 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 93%
4020Images
Valid Set 3%
151Images
Test Set 4%
160Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 50% of images
Saturation: Between -76% and +76%
Brightness: Between -50% and +50%
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 5% of pixels

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