Dataset Versions

v2

yoloV8_ycy

Generated on Jun 28, 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 90%
3912Images
Valid Set 8%
365Images
Test Set 1%
64Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Exposure: Between -49% and +49%
Bounding Box: Brightness: Between -11% and +11%
Bounding Box: Noise: Up to 10% of pixels

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