Dataset Versions

v3

mostly_train

Generated on Sep 9, 2021

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 99%
1470Images
Valid Set %
0Images
Test Set 1%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 128x128
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -27% and +27%
Noise: Up to 5% of pixels

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