Dataset Versions

v5

2022-07-25 6:14pm

Generated on Jul 25, 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
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Dataset Split

Train Set 99%
1206Images
Valid Set 1%
13Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -23° and +23°
Shear: ±18° Horizontal, ±7° Vertical
Hue: Between -132° and +132°
Saturation: Between -30% and +30%
Noise: Up to 5% of pixels

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