YOLOv4 Tiny vs. SegFormer

Both YOLOv4 Tiny and SegFormer are commonly used in computer vision projects. Below, we compare and contrast YOLOv4 Tiny and SegFormer.

Models

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.

Model Type

Object Detection

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

ResNet-D, YOLO

Transformers

Frameworks

Darknet

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.2k+

License

YOLO

NVIDIA Source Code

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.