Dataset Versions

v3

2024-09-11 12:58am

Generated on Sep 11, 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.
Other Formats
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Dataset Split

Train Set 94%
157290Images
Valid Set 4%
6438Images
Test Set 2%
3343Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Grayscale: Apply to 11% of images
Hue: Between -15° and +15°
Saturation: Between -26% and +26%
Brightness: Between -14% and +14%
Exposure: Between -12% and +12%
Noise: Up to 0.34% of pixels