Dataset Versions

v8

2024-07-06 6:09am

Generated on Jul 6, 2024

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 90%
1644Images
Valid Set 9%
167Images
Test Set 1%
14Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 2.6px
Noise: Up to 1.96% of pixels

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