Dataset Versions

v1

2023-04-02 7:33pm

Generated on Apr 2, 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%
5541Images
Valid Set 8%
528Images
Test Set 4%
264Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 33% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 6.5px
Bounding Box: Noise: Up to 5% of pixels

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