4M vs. Resnet-32: Compared and Contrasted

Models

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

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

Model Type

Multimodal Model

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Frameworks

PyTorch

Fast.ai v2

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

1.1k

32+

License

Apache 2.0

Paper

Training Notebook

Deploy Model

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.