Models

Scaled-YOLOv4 vs. Faster R-CNN

Both

Scaled YOLOv4

and

Faster R-CNN

are commonly used in computer vision projects. Below, we compare and contrast

Scaled YOLOv4

and

Faster R-CNN

.

  Scaled YOLOv4 Faster R-CNN
Date of Release
Model Type Object Detection Object Detection
Architecture
GitHub Stars 2000 7800

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started