Dataset Versions

v1

TestsV2

Generated on May 10, 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.
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Dataset Split

Train Set 81%
44Images
Valid Set 13%
7Images
Test Set 6%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Brightness: Between -31% and +31%
Blur: Up to 8.5px
Bounding Box: Rotation: Between -21° and +21°

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