Dataset Versions

v1

2024-02-21 7:56pm

Generated on Feb 21, 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 80%
16833Images
Valid Set 8%
1603Images
Test Set 13%
2736Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Brightness: Between -25% and +25%
Noise: Up to 0.34% of pixels
Bounding Box: Exposure: Between -25% and +25%

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