Dataset Versions

v4

2023-12-10 3:03pm

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 81%
4944Images
Valid Set 12%
720Images
Test Set 8%
471Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Shear: ±0° Horizontal, ±17° Vertical
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -8% and +8%

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