Dataset Versions

v2

V2

Generated on Mar 31, 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 93%
180Images
Valid Set 4%
7Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 34% Maximum Zoom
Grayscale: Apply to 20% of images
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°

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