Dataset Versions

v6

2024-05-02 7:06pm

Generated on May 2, 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 93%
3999Images
Valid Set 7%
300Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 200x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -15° and +15°
Exposure: Between -14% and +14%
Noise: Up to 1.72% of pixels
Bounding Box: Blur: Up to 4.7px

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