Dataset Versions

v3

2024-10-08 12:32pm

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
Choose another format.

Dataset Split

Train Set 86%
6381Images
Valid Set 8%
627Images
Test Set 5%
385Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x480
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -17° and +17°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 3.5px
Noise: Up to 1.88% of pixels

Similar Projects

See More