Dataset Versions

v2

2021-09-22 4:01pm

Generated on Sep 22, 2021

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 88%
5859Images
Valid Set 8%
558Images
Test Set 4%
279Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Brightness: Between -40% and +40%
Exposure: Between -17% and +17%
Noise: Up to 2% of pixels
Bounding Box: Exposure: Between -25% and +25%

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