Dataset Versions

v3

2024-10-08 7:00am

Generated on Oct 8, 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.
Other Formats
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Dataset Split

Train Set 90%
72Images
Valid Set 6%
5Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 1.6px
Noise: Up to 1.88% of pixels

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