Dataset Versions

v2

2023-09-13 11:48pm

Generated on Sep 13, 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.
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Dataset Split

Train Set 92%
14842Images
Valid Set 5%
738Images
Test Set 3%
472Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 21 remapped, 64 dropped
Filter Null: Require at least 93% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Brightness: Between -35% and +35%
Blur: Up to 2.5px

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