Dataset Versions

v1

2023-03-01 2:15pm

Generated on Mar 1, 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 82%
3564Images
Valid Set 16%
684Images
Test Set 2%
77Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -16° and +16°
Brightness: Between -45% and +45%
Exposure: Between -13% and +13%
Blur: Up to 1px
Noise: Up to 1% of pixels

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