Dataset Versions

v1

DataSet

Generated on Apr 19, 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 70%
4511Images
Valid Set 30%
1935Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 1
Brightness: Between -48% and +48%
Exposure: Between -27% and +27%
Blur: Up to 1.5px

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