design_templates Dataset

v2

2024-03-21 5:50pm

Generated on Mar 21, 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
Choose another format.

Dataset Split

Train Set 96%
816Images
Valid Set 3%
28Images
Test Set 1%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 4px
Noise: Up to 4.02% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5.05% of pixels

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