Dataset Versions

v4

2024-05-29 8:09pm

Generated on May 29, 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 87%
426Images
Valid Set 8%
41Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 20% of images
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 0.46% of pixels
Cutout: 3 boxes with 18% size each

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