Dataset Versions

v8

2023-12-12 4:39am

Generated on Dec 11, 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 92%
6408Images
Valid Set %
0Images
Test Set 8%
541Images

Preprocessing

Resize: Stretch to 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -24° and +24°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -9% and +9%

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