Dataset Versions

v1

2024-02-26 9:09am

Generated on Feb 26, 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 88%
5157Images
Valid Set 8%
490Images
Test Set 4%
246Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 240x240

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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