Dataset Versions

v2

2024-05-01 7:49pm

Generated on May 1, 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 90%
6064Images
Valid Set 7%
448Images
Test Set 3%
224Images

Preprocessing

Static Crop: 20-80% Horizontal Region, 5-60% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 4
Rotation: Between -10° and +10°
Blur: Up to 1px

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