Dataset Versions

v6

2023-01-30 11-24pm_YOLOv8

Generated on Jan 30, 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.
Other Formats
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Dataset Split

Train Set 99%
3050Images
Valid Set 1%
16Images
Test Set 0%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 50
Rotation: Between -15° and +15°
Grayscale: Apply to 31% of images
Hue: Between -71° and +71°
Brightness: Between -25% and +25%
Exposure: Between -19% and +19%
Bounding Box: Blur: Up to 1.25px
Bounding Box: Noise: Up to 10% of pixels

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