Models
MT-YOLOv6 vs. YOLOv3 Keras

MT-YOLOv6 vs. YOLOv3 Keras

Both MT-YOLOv6 and YOLOv3 Keras are commonly used in computer vision projects. Below, we compare and contrast MT-YOLOv6 and YOLOv3 Keras.

Models

icon-model

MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.
Learn more about MT-YOLOv6
icon-model

YOLOv3 Keras

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. Keras implementation.
Learn more about YOLOv3 Keras
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
--
YOLO
--
Frameworks
PyTorch
--
Keras
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
5.5k+
--
7.1k+
--
License
GPL-3.0
--
MIT
--
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 MT-YOLOv6 and YOLOv3 Keras with Autodistill

Compare MT-YOLOv6 vs. YOLOv3 Keras

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.