Dataset Versions

v1

2024-02-09 8:47pm

Generated on Feb 9, 2024

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 89%
37519Images
Valid Set 6%
2342Images
Test Set 6%
2373Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 2
Grayscale: Apply to 9% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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