Dataset Versions

v5

2022-09-28 9:40pm

Generated on Sep 28, 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 84%
1002Images
Valid Set 11%
134Images
Test Set 5%
58Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Hue: Between -30° and +30°
Saturation: Between -70% and +70%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 4.5px
Noise: Up to 2% of pixels

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