Dataset Versions

v10

Duyhihiv3

Generated on Dec 11, 2022

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 83%
1792Images
Valid Set 11%
226Images
Test Set 6%
134Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Hue: Between -27° and +27°
Saturation: Between -7% and +7%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 10% of pixels
Cutout: 5 boxes with 10% size each
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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