Dataset Versions

v1

2022-05-13 9:51pm

Generated on May 13, 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.
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Dataset Split

Train Set 76%
14613Images
Valid Set 15%
2865Images
Test Set 10%
1874Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied

Augmentations

Outputs per training example: 1
Saturation: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -10% and +10%

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