Dataset Versions

v2

2022-03-19 3:49pm

Generated on Mar 19, 2022

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 87%
357Images
Valid Set 8%
34Images
Test Set 4%
18Images

Preprocessing

Static Crop: 25-72% Horizontal Region, 30-95% Vertical Region
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -49% and +49%
Blur: Up to 3px
Noise: Up to 11% of pixels
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Blur: Up to 10px
Bounding Box: Noise: Up to 8% of pixels