Dataset Versions

v1

2022-11-13 10:57pm

Generated on Nov 13, 2022

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 87%
636Images
Valid Set 8%
60Images
Test Set 5%
33Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -13° and +13°
Shear: ±25° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Noise: Up to 18% of pixels

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