Dataset Versions

v3

2022-10-12 1:11pm

Generated on Oct 12, 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 85%
368Images
Valid Set 10%
45Images
Test Set 5%
21Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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