Dataset Versions

v7

2023-05-25 8:28am

Generated on May 25, 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 84%
168Images
Valid Set 9%
17Images
Test Set 7%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 2 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Mosaic: Applied

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