Dataset Versions

v2

2023-09-18 9:46am

Generated on Sep 18, 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.
Other Formats
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Dataset Split

Train Set 87%
3273Images
Valid Set 8%
300Images
Test Set 5%
176Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x360
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±18° Horizontal, ±23° Vertical
Brightness: Between -39% and +39%
Blur: Up to 2.5px
Noise: Up to 2% of pixels
Cutout: 6 boxes with 5% size each

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