Dataset Versions

v3

2023-03-15 8:33am

Generated on Mar 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.
Other Formats
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Dataset Split

Train Set 84%
6273Images
Valid Set 11%
808Images
Test Set 5%
386Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 11 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 2% of pixels

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