Dataset Versions

v22

2023-11-12 4:17pm

Generated on Nov 12, 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 86%
1566Images
Valid Set 9%
164Images
Test Set 5%
93Images

Preprocessing

Modify Classes: 20 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -80% and +80%
Brightness: Between -70% and +70%
Exposure: Between -50% and +50%
Blur: Up to 2px
Noise: Up to 25% of pixels
Cutout: 23 boxes with 5% size each
Mosaic: Applied

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