Dataset Versions

v11

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Generated on Aug 10, 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.
Other Formats
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Dataset Split

Train Set 89%
7822Images
Valid Set 11%
1000Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 0.98% of pixels