Models
MobileNet SSD v2 vs. Faster R-CNN

MobileNet SSD v2 vs. Faster R-CNN

Both MobileNet SSD v2 and Faster R-CNN are commonly used in computer vision projects. Below, we compare and contrast MobileNet SSD v2 and Faster R-CNN.

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.
icon-model

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
--
--
Frameworks
TensorFlow 1.5
--
TensorFlow 1.5
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
81+
--
7.5k+
--
License
MIT
--
MIT
--
Training Notebook

Compare MobileNet SSD v2 and Faster R-CNN with Autodistill

Compare MobileNet SSD v2 vs. Faster R-CNN

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.