Models
MobileNet SSD v2 vs. Resnet-32

MobileNet SSD v2 vs. Resnet-32

Both MobileNet SSD v2 and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and ResNet 32.

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

ResNet 32

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.
Learn more about ResNet 32
Model Type
Object Detection
--
Classification
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
--
Frameworks
TensorFlow 1.5
--
Fast.ai v2
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
81+
--
32+
--
License
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 MobileNet SSD v2 and ResNet 32 with Autodistill

Compare MobileNet SSD v2 vs. Resnet-32

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.