Dataset Versions

v2

2024-01-28 4:27pm

Generated on Jan 28, 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 91%
3453Images
Valid Set 6%
234Images
Test Set 3%
116Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Noise: Up to 0.69% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±6° Horizontal, ±6° Vertical
Bounding Box: Noise: Up to 0.1% of pixels

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