Florence 2 Object Detection vs. SegFormer

Both Florence 2 Object Detection and SegFormer are commonly used in computer vision projects. Below, we compare and contrast Florence 2 Object Detection and SegFormer.

Models

Florence 2 Object Detection

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.

Learn more about Florence 2 Object Detection

SegFormer

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

Learn more about SegFormer

Model Type

Object Detection

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

View Repo

GitHub Stars

2.2k+

License

MIT

NVIDIA Source Code

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare Florence 2 Object Detection vs. SegFormer

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.

Florence 2 Object Detection vs. SegFormer

Models