Dataset Versions

v23

2024-09-21 2:09pm

Generated on Sep 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 91%
3661Images
Valid Set 6%
258Images
Test Set 2%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 7
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Hue: Between -14° and +14°
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.65% of pixels