Dataset Versions

v2

2023-11-14 11:38pm

Generated on Nov 14, 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%
12609Images
Valid Set 8%
1209Images
Test Set 3%
476Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Hue: Between -10° and +10°
Saturation: Between -12% and +12%
Brightness: Between -20% and +20%
Exposure: Between -11% and +11%
Noise: Up to 1% of pixels
Mosaic: Applied

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