Dataset Versions

v24

2023-11-13 3:26pm

Generated on Nov 13, 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 88%
1743Images
Valid Set 8%
165Images
Test Set 4%
82Images

Preprocessing

Modify Classes: 20 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±18° Horizontal, ±18° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -65% and +65%
Brightness: Between -70% and +70%
Exposure: Between -70% and +70%
Blur: Up to 2px
Noise: Up to 25% of pixels
Cutout: 24 boxes with 7% size each
Mosaic: Applied

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