Dataset Versions

v21

019

Generated on Mar 27, 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 91%
390Images
Valid Set 9%
40Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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