Dataset Versions

v4

2021-10-06 6:57pm

Generated on Oct 6, 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 87%
8136Images
Valid Set 8%
775Images
Test Set 4%
388Images

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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