Dataset Versions

v17

2023-06-02 4:03pm

Generated on Jun 2, 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 95%
9477Images
Valid Set 4%
432Images
Test Set 1%
89Images

Preprocessing

Auto-Orient: Applied
Static Crop: 22-84% Horizontal Region, 16-76% Vertical Region
Resize: Stretch to 416x416
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -51° and +51°
Brightness: Between -37% and +37%
Bounding Box: Exposure: Between -10% and +10%

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