Dataset Versions

v3

Lay cai nay

Generated on Jun 12, 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 86%
3174Images
Valid Set 9%
316Images
Test Set 6%
214Images

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°
Hue: Between -11° and +11°
Saturation: Between -25% and +25%
Brightness: Between -18% and +18%
Exposure: Between -12% and +12%
Blur: Up to 1.5px
Noise: Up to 0.22% of pixels

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