Dataset Versions

v6

2022-11-08 5:09am

Generated on Nov 7, 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.
Other Formats
Choose another format.

Dataset Split

Train Set 70%
621Images
Valid Set 20%
176Images
Test Set 10%
90Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 30% of images to contain annotations.

Augmentations

Outputs per training example: 1
Rotation: Between -7° and +7°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%

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