Dataset Versions

v19

2023-09-12 11:58am

Generated on Sep 12, 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
Choose another format.

Dataset Split

Train Set 88%
1431Images
Valid Set 8%
138Images
Test Set 4%
59Images

Preprocessing

Resize: Fit (black edges) in 1600x900
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Grayscale: Apply to 60% of images
Hue: Between -44° and +44°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1.75px
Noise: Up to 2% of pixels
Cutout: 10 boxes with 3% size each
Mosaic: Applied