Dataset Versions

v8

2024-09-04 2:51am

Generated on Sep 4, 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 83%
3092Images
Valid Set 11%
422Images
Test Set 6%
207Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal
Hue: Between -9° and +9°
Saturation: Between -20% and +20%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%

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