Dataset Versions

v1

yolox- batch-16- img-640- epochs-100

Generated on Apr 17, 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 87%
963Images
Valid Set 8%
92Images
Test Set 5%
51Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 7px
Noise: Up to 10% of pixels
Cutout: 5 boxes with 15% size each
Mosaic: Applied

Similar Projects

See More