Dataset Versions

v11

2023-10-10 7:32am

Generated on Oct 10, 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 88%
2652Images
Valid Set 7%
221Images
Test Set 4%
128Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -7° and +7°
Shear: ±19° Horizontal, ±19° Vertical
Grayscale: Apply to 18% of images
Saturation: Between -21% and +21%
Brightness: Between -38% and +38%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -27% and +27%
Bounding Box: Blur: Up to 1.75px
Bounding Box: Noise: Up to 5% of pixels

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