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This repository has been archived by the owner on Nov 6, 2021. It is now read-only.

intel/Edge-optimized-models

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DISCONTINUATION OF PROJECT.

This project will no longer be maintained by Intel.

Intel will not provide or guarantee development of or support for this project, including but not limited to, maintenance, bug fixes, new releases or updates.

Patches to this project are no longer accepted by Intel.

If you have an ongoing need to use this project, are interested in independently developing it, or would like to maintain patches for the community, please create your own fork of the project.

Edge optimized models

Collection of Deep Learning topologies and models trained and optimized for Intel's Edge platforms.

Object detection models for Computer Vision based applications

Model Description
MobileNet 1-Class detection Detects and locates multiple instances of a class of object in an input image with low latency. Based on SSD and MobileNet architectures. Trained to detect Pedestrians.
MobileNet 5-Class detection Detects and locates multiple instances of objects belonging to five classes. Based on SSD and MobileNet architectures. Trained to detect Pedestrians, Cars, Buses, Bicycles and Motorcycles.
SqueezeNet 5-Class detection Detects and locates multiple instances of objects belonging to five classes. Based on SSD and SqueezeNet architectures. Trained to detect Pedestrians, Cars, Buses, Bicycles and Motorcycles.

Note: View subfolders for model specific licensing and citation information.