Dataset Versions

v3

2023-04-30 8:14pm

Generated on Apr 30, 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%
1666Images
Valid Set 12%
240Images
Test Set 6%
122Images

Preprocessing

Resize: Fit within 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±13° Horizontal, ±5° Vertical
Saturation: Between -50% and +50%
Brightness: Between -30% and +30%
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical

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