Dataset Versions

v8

2024-03-29 4:52pm

Generated on Mar 29, 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 82%
927Images
Valid Set 18%
198Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±1° Horizontal, ±0° Vertical
Grayscale: Apply to 9% of images
Hue: Between -2° and +2°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -8% and +8%
Blur: Up to 0.1px
Noise: Up to 0.06% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -2° and +2°
Bounding Box: Shear: ±3° Horizontal, ±1° Vertical
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 0.06% of pixels