Dataset Versions

v6

2024-04-16 2:51pm

Generated on Apr 16, 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 93%
5586Images
Valid Set 4%
217Images
Test Set 4%
233Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 20% of images
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -9% and +9%
Blur: Up to 0.6px
Noise: Up to 0.5% of pixels

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