Dataset Versions

v3

2024-02-05 3:30pm

Generated on Feb 5, 2024

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 87%
10356Images
Valid Set 8%
991Images
Test Set 4%
497Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: Craft
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Noise: Up to 5% of pixels
Bounding Box: Crop: 99% Minimum Zoom, 99% Maximum Zoom

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