Dataset Versions

v24

2024-11-16 5:08pm

Generated on Nov 16, 2024

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 97%
3903Images
Valid Set 2%
80Images
Test Set 1%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Filter by Tag: 1 required, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels

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