Dataset Versions

v2

2024-07-12 5:27pm

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 94%
21315Images
Valid Set 3%
712Images
Test Set 3%
652Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 24 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Shear: ±8° Horizontal, ±8° Vertical
Blur: Up to 1.4px
Noise: Up to 1.05% of pixels
Cutout: 5 boxes with 9% size each

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