Dataset Versions

v10

2023-07-19 grayscale

Generated on Jul 19, 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 91%
6900Images
Valid Set 5%
375Images
Test Set 4%
334Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 8 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -10° and +10°
Saturation: Between -34% and +34%
Brightness: Between -32% and +32%
Exposure: Between -19% and +19%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 3 boxes with 15% size each

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