Dataset Versions

v3

2022-10-21 9:25am

Generated on Oct 21, 2022

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.
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Dataset Split

Train Set 95%
141Images
Valid Set 3%
5Images
Test Set 1%
2Images

Preprocessing

Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Brightness: Between -48% and +48%
Cutout: 2 boxes with 13% size each
Bounding Box: Rotation: Between -15° and +15°

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