Dataset Versions

v3

2024-10-01 12:00pm

Generated on Oct 1, 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 91%
49356Images
Valid Set 6%
3239Images
Test Set 3%
1733Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 4
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.54% of pixels