Dataset Versions

v2

2023-02-16 3:41pm

Generated on Feb 16, 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.
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Dataset Split

Train Set 95%
16866Images
Valid Set 3%
467Images
Test Set 3%
479Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 90x90

Augmentations

Outputs per training example: 2
Saturation: Between -16% and +16%
Bounding Box: Crop: 0% Minimum Zoom, 11% Maximum Zoom
Bounding Box: Rotation: Between -3° and +3°
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 1% of pixels

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