Dataset Versions

v1

2024-01-05 1:36am

Generated on Jan 4, 2024

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.
Other Formats
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Dataset Split

Train Set 82%
2096Images
Valid Set 12%
299Images
Test Set 6%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 2
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 0.9px
Noise: Up to 0.5% of pixels

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