Dataset Versions

v1

2024-01-14 3:40pm

Generated on Jan 14, 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 74%
669Images
Valid Set 20%
182Images
Test Set 6%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±11° Horizontal, ±14° Vertical
Grayscale: Apply to 7% of images
Blur: Up to 3.2px
Noise: Up to 1.17% of pixels
Cutout: 8 boxes with 11% size each

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