Multiscale Predictions
Performs detection using three different kernel sizes to improve accuracy across object scales.
PyTorch Implementation with Export Support
Supports inference via PyTorch Hub and export to ONNX, CoreML, and TFLite formats for deployment on various platforms.
Training on Custom Datasets
Enables training on datasets like COCO using Ultralytics API or CLI tools.
Forward Compatibility with YOLOv5
Maintains compatibility with updates and methods from YOLOv5 for ongoing maintenance and improvements.