Dataset Versions

v4

2024-06-28 6:36pm

Generated on Jun 28, 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 88%
12300Images
Valid Set 8%
1158Images
Test Set 4%
534Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -14% and +14%
Brightness: Between -25% and +25%
Blur: Up to 1.6px
Bounding Box: Exposure: Between -8% and +8%

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