Dataset Versions

v14

2024-09-21 4:51am

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 92%
3759Images
Valid Set 7%
274Images
Test Set 2%
62Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
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, 19% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° 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
Bounding Box: Exposure: Between -14% and +14%
Bounding Box: Blur: Up to 1.6px