Dataset Versions

v1

2022-10-19 8:49pm

Generated on Oct 20, 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%
366Images
Valid Set 8%
33Images
Test Set 5%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Noise: Up to 10% of pixels
Cutout: 15 boxes with 3% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom

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