Dataset Versions

v16

2023-05-27 5:42pm

Generated on May 27, 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 91%
2601Images
Valid Set 4%
119Images
Test Set 5%
143Images

Preprocessing

Modify Classes: 0 remapped, 17 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +0%
Exposure: Between -5% and +5%
Blur: Up to 1.25px

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