4M vs. Faster R-CNN: Compared and Contrasted

Models

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.

Learn more about 4M

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.

Learn more about Faster R-CNN

Model Type

Multimodal Model

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

1.1k

7.5k+

License

Apache 2.0

MIT

Paper

Training Notebook

Deploy Model



4M vs. Faster R-CNN

Both

and

Faster R-CNN

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

and

Faster R-CNN

	4M	Faster R-CNN
Date of Release	Jun 24, 2024
Model Type	Multimodal Model	Object Detection
Architecture
GitHub Stars	800	7500

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How 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 Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about Faster R-CNN