Dataset Versions

v13

2024-04-10 4:25pm

Generated on Apr 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 94%
3498Images
Valid Set 4%
144Images
Test Set 2%
82Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Noise: Up to 0.66% of pixels

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