Dataset Versions

v2

2023-11-16 9:34pm

Generated on Nov 17, 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.
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Dataset Split

Train Set 87%
792Images
Valid Set 9%
79Images
Test Set 4%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -29° and +29°
Brightness: Between -25% and +25%
Exposure: Between -39% and +39%
Blur: Up to 4.75px
Noise: Up to 19% of pixels
Cutout: 19 boxes with 14% size each

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