Dataset Versions

v4

2023-12-12 2:20pm

Generated on Dec 12, 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 80%
12Images
Valid Set 7%
1Images
Test Set 13%
2Images

Preprocessing

Auto-Orient: Applied
Static Crop: 33-67% Horizontal Region, 25-72% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Blur: Up to 2.5px

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