Dataset Versions

v6

2024-05-31 3:26pm

Generated on May 31, 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 82%
4426Images
Valid Set 12%
635Images
Test Set 6%
315Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 0.3px
Noise: Up to 0.97% of pixels

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