Dataset Versions

v3

2023-08-06 1:54am

Generated on Aug 5, 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 96%
2793Images
Valid Set 1%
33Images
Test Set 3%
93Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 39% Maximum Zoom
Grayscale: Apply to 16% of images
Saturation: Between -30% and +30%
Brightness: Between -29% and +29%
Exposure: Between -22% and +22%
Blur: Up to 3px
Noise: Up to 1% of pixels

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