Dataset Versions

v12

hard-negative

Generated on Jun 29, 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 92%
17898Images
Valid Set 5%
991Images
Test Set 3%
529Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -45% and +45%
Brightness: Between -38% and +38%
Exposure: Between -24% and +24%
Blur: Up to 10px
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%

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