Dataset Versions

v4

2023-09-27 5:46pm

Generated on Sep 27, 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 90%
293456Images
Valid Set 6%
20950Images
Test Set 3%
10483Images

Preprocessing

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

Augmentations

Outputs per training example: 4
Rotation: Between -15° and +15°
Saturation: Between -43% and +43%
Exposure: Between -23% and +23%
Mosaic: Applied
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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