Dataset Versions

v2

2024-05-25 2:26am

Generated on May 24, 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 89%
81Images
Valid Set 11%
10Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±12° Vertical
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Bounding Box: Brightness: Between -15% and +15%

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