Models
MT-YOLOv6 vs. MobileNet V2 Classification

MT-YOLOv6 vs. MobileNet V2 Classification

Both MT-YOLOv6 and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast MT-YOLOv6 and MobileNet V2 Classification.

Models

icon-model

MT-YOLOv6

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

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
Model Type
Object Detection
--
Classification
--
Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
--
--
Frameworks
PyTorch
--
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
5.5k+
--
--
License
GPL-3.0
--
--
Training Notebook

Compare MT-YOLOv6 and MobileNet V2 Classification with Autodistill

Compare MT-YOLOv6 vs. MobileNet V2 Classification

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.