Models
Florence 2 Object Detection vs. MT-YOLOv6

Florence 2 Object Detection vs. MT-YOLOv6

Both Florence 2 Object Detection and MT-YOLOv6 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 Object Detection and MT-YOLOv6.

Models

icon-model

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
icon-model

MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
Learn more about MT-YOLOv6
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
CNN, YOLO
--
Annotation Format
Instance Segmentation
Instance Segmentation
Framework
--
--
PyTorch
GitHub
--
View Repo
--
View Repo
GitHub Stars
--
5.5k+
--
License
MIT
--
GPL-3.0
--
Paper
--
View Paper
--
View Paper
Training Notebook
Train on Colab
--
Train on Colab
--
Deploy Model
--
rocket icon
Deploy with Roboflow
--
rocket icon
Deploy with Roboflow
Compare Alternatives
--
Compare with...
--
Compare with...

Compare Florence 2 Object Detection and MT-YOLOv6 with Autodistill

Compare Florence 2 Object Detection vs. MT-YOLOv6

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.