Dataset Versions

v8

2024-09-10 2:07am

Generated on Sep 10, 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 78%
5370Images
Valid Set 12%
862Images
Test Set 10%
666Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x240

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.69% of pixels

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