Dataset Versions

v6

2023-12-27 11:55am

Generated on Dec 27, 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.
Other Formats
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Dataset Split

Train Set 82%
2092Images
Valid Set 12%
311Images
Test Set 6%
151Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Shear: ±19° Horizontal, ±15° Vertical
Grayscale: Apply to 30% of images
Exposure: Between -23% and +23%
Noise: Up to 2% of pixels
Cutout: 4 boxes with 14% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Noise: Up to 6% of pixels