Dataset Versions

v8

2023-09-18 1:53am

Generated on Sep 18, 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 92%
1320Images
Valid Set 4%
55Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 608x608
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 50% of images
Hue: Between -45° and +45°
Saturation: Between -50% and +50%
Exposure: Between -12% and +12%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -15° and +15°

Similar Projects

See More