Dataset Versions

v12

2024-06-05 1:21pm

Generated on Jun 5, 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 87%
5427Images
Valid Set 8%
517Images
Test Set 4%
259Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 1.01% of pixels

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