Dataset Versions

v8

2021-12-29 10:29am

Generated on Dec 29, 2021

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 95%
2034Images
Valid Set 5%
108Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 768x768
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Saturation: Between -90% and +90%
Brightness: Between 0% and +70%
Noise: Up to 1% of pixels

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