Resnet-32 vs. MobileNet SSD v2: Compared and Contrasted

Models

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

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

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Annotation Format

Instance Segmentation

Framework

Fast.ai v2

TensorFlow 1.5

GitHub

GitHub Stars

32+

81+

License

MIT

Paper

Training Notebook

Deploy Model

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.