Models
MobileNet V2 Classification vs. YOLOv7

MobileNet V2 Classification vs. YOLOv7

Both MobileNet V2 Classification and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast MobileNet V2 Classification and YOLOv7.

Models

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.
Learn more about MobileNet V2 Classification
icon-model

YOLOv7

YOLOv7 is a state of the art object detection model.
Learn more about YOLOv7
Model Type
Classification
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
YOLO, CNN
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
--
12.5k+
--
License
--
GPL-3.0
--
Training Notebook

Compare MobileNet V2 Classification and YOLOv7 with Autodistill

Models

MobileNet V2 Classification vs. YOLOv7

.

Both

MobileNet V2 Classification

and

YOLOv7

are commonly used in computer vision projects. Below, we compare and contrast

MobileNet V2 Classification

and

YOLOv7
  MobileNet V2 Classification YOLOv7
Date of Release Jul 06, 2022
Model Type Classification Object Detection
Architecture YOLO, CNN
GitHub Stars 12500

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.

Get started