Dataset Versions

v1

2023-10-25 2:35pm

Generated on Oct 25, 2023

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 83%
1938Images
Valid Set 13%
291Images
Test Set 4%
92Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -45° and +45°
Brightness: Between -74% and +74%
Exposure: Between -25% and +25%
Blur: Up to 13.75px
Noise: Up to 25% of pixels

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