Dataset Versions

v5

2024-07-12 12:53pm

Generated on Jul 12, 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.
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Dataset Split

Train Set 92%
780Images
Valid Set 5%
46Images
Test Set 2%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 12% of images
Saturation: Between -34% and +34%
Exposure: Between -12% and +12%
Blur: Up to 0.9px
Noise: Up to 0.61% of pixels

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