Dataset Versions

v11

3_Labels

Generated on May 23, 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 88%
261Images
Valid Set 8%
25Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 7 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -42% and +42%
Brightness: Between -12% and +12%
Bounding Box: Noise: Up to 2% of pixels

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