Dataset Versions

v25

2022-10-07 12:09am

Generated on Oct 6, 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.
Other Formats
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Dataset Split

Train Set 88%
3300Images
Valid Set 8%
293Images
Test Set 5%
171Images

Preprocessing

Static Crop: 10-94% Horizontal Region, 40-100% Vertical Region
Resize: Stretch to 320x320
Modify Classes: 12 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between 0% and +39%
Blur: Up to 0.75px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between 0% and +20%

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