Dataset Versions

v1

2024-11-06 3:55am

Generated on Nov 6, 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 92%
1430Images
Valid Set 5%
81Images
Test Set 2%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal
Rotation: Between -4° and +4°
Shear: ±5° Horizontal, ±6° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 0.1% of pixels

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