Dataset Versions

v3

2023-11-14 8:27pm

Generated on Nov 14, 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 93%
4260Images
Valid Set 7%
301Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -52° and +52°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -29% and +29%
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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