Dataset Versions

v3

2023-12-15 3:30pm

Generated on Dec 15, 2023

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 85%
84Images
Valid Set 9%
9Images
Test Set 6%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±11° Horizontal, ±18° Vertical
Bounding Box: Noise: Up to 5% of pixels

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