Dataset Versions

v2

2023-12-15 11:18am

Generated on Dec 15, 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 100%
906Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Rotation: Between -37° and +37°
Shear: ±27° Horizontal, ±27° Vertical
Hue: Between -57° and +57°
Saturation: Between -46% and +46%
Brightness: Between -12% and +12%
Exposure: Between -8% and +8%

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