Dataset Versions

v3

2023-12-10 12:11pm

Generated on Dec 10, 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 86%
7416Images
Valid Set 8%
720Images
Test Set 5%
471Images

Preprocessing

Resize: Stretch to 416x416
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±0° Horizontal, ±17° Vertical
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -8% and +8%

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