Dataset Versions

v7

2023-01-02 2:28pm

Generated on Jan 2, 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 87%
7032Images
Valid Set 8%
662Images
Test Set 4%
356Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 16 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -30° and +30°
Brightness: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 7% of pixels

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