Dataset Versions

v2

2023-10-28 9:17am

Generated on Oct 28, 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 82%
18144Images
Valid Set 9%
2013Images
Test Set 9%
2015Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 400x400
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -5° and +5°
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Blur: Up to 0px
Bounding Box: Brightness: Between -7% and +7%
Bounding Box: Noise: Up to 5% of pixels

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