Models
MobileNet SSD v2 vs. YOLOv7

MobileNet SSD v2 vs. YOLOv7

Both MobileNet SSD v2 and YOLOv7 are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and YOLOv7.

Models

icon-model

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.
Learn more about MobileNet SSD v2
icon-model

YOLOv7

YOLOv7 is a state of the art object detection model.
Learn more about YOLOv7
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
YOLO, CNN
--
Frameworks
TensorFlow 1.5
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
81+
--
12.5k+
--
License
MIT
--
GPL-3.0
--
Training Notebook

Compare MobileNet SSD v2 and YOLOv7 with Autodistill

Models

MobileNet SSD v2 vs. YOLOv7

.

Both

MobileNet SSD v2

and

YOLOv7

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

MobileNet SSD v2

and

YOLOv7
  MobileNet SSD v2 YOLOv7
Date of Release Jan 13, 2018 Jul 06, 2022
Model Type Object Detection Object Detection
Architecture YOLO, CNN
GitHub Stars 81 12500

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

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