Both
and
are commonly used in computer vision projects. Below, we compare and contrast
and
.
The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset
This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
Join 100k developers curating high quality datasets and deploying better models with Roboflow.
Get started