Dataset Versions

v3

2024-03-01 12:52am

Generated on Feb 29, 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 87%
2148Images
Valid Set 8%
205Images
Test Set 4%
103Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels

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