Dataset Versions

v7

2024-01-27 12:43am

Generated on Jan 26, 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 87%
552Images
Valid Set 8%
53Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-66% Horizontal Region, 30-86% Vertical Region
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±13° Horizontal, ±14° Vertical
Grayscale: Apply to 23% of images
Hue: Between -21° and +21°
Saturation: Between -34% and +34%
Brightness: Between -22% and +22%
Exposure: Between -14% and +14%
Blur: Up to 3.7px
Noise: Up to 1.29% of pixels

Similar Projects

See More
150 images 1 model
983 images 1 model
768 images 1 model