Dataset Versions

v1

cc1

Generated on Jan 29, 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 87%
1212Images
Valid Set 9%
119Images
Test Set 5%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -180° and +180°
Saturation: Between -36% and +36%
Brightness: Between 0% and +70%
Exposure: Between -14% and +14%
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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