Dataset Versions

v1

2024-10-06 8:00am

Generated on Oct 6, 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 88%
708Images
Valid Set 8%
67Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 32% of images
Saturation: Between -73% and +73%
Blur: Up to 1.3px
Noise: Up to 7.03% of pixels