Dataset Versions

v4

2022-07-06 4:21am

Generated on Jul 5, 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 85%
660Images
Valid Set 11%
84Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit (black edges) in 512x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 10% of images
Hue: Between -90° and +90°
Brightness: Between -6% and +6%
Exposure: Between -15% and +15%
Cutout: 5 boxes with 3% size each

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