Dataset Versions

v4

Biensoxe_2022-04-14 4:48am

Generated on Apr 13, 2022

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 87%
621Images
Valid Set 9%
62Images
Test Set 5%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -31° and +31°
Brightness: Between -45% and +45%
Exposure: Between -50% and +50%
Noise: Up to 12% of pixels

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