#2929th of 80 in Open models
open_model_zoo
Pre-trained OpenVINO vision models with demos, downloader and accuracy checker
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- Stars
- 4.4k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Language
- Python
Missed the latest GitHub check; these facts may be older.
Overview
Repository of Intel and public pre-trained deep learning models prepared for OpenVINO inference, plus demo applications showing how to run them. It also ships a Model Downloader and other automation tools, and an Accuracy Checker for validating model accuracy. The README states the project is in maintenance mode as a source of models and points to OpenVINO Jupyter notebooks instead.
Who it is for: Engineers deploying pre-trained models with OpenVINO on Intel hardware
Strengths
- Includes both Intel-trained and public pre-trained model collections with indexed documentation
- Model Downloader tool automates fetching models
- Accuracy Checker validates model accuracy
- Demos show end-to-end inference usage with OpenVINO
Weaknesses
- In maintenance mode as a source of models; README redirects to notebooks
- Documentation links point to the 2023.0 OpenVINO docs
- No tagged release published
- Tied to the OpenVINO runtime; not a general-purpose model hub
What it needs
- Needs OpenVINO Toolkit
- Models: OpenVINO
Also in Open models
See all 80| Rank | Project | Score |
|---|---|---|
| 1 | ruviewWiFi CSI sensing on ESP32 for presence, breathing, heart rate and pose | 94 out of 100 |
| 2 | layaSingle-pass multilingual classifier returning typed decisions with calibrated odds | 88 out of 100 |
| 3 | rf-detrReal-time transformer models for object detection, segmentation and keypoints | 81 out of 100 |
| #4 | timesfmPretrained time-series foundation model for zero-shot forecasting from Google Research | 78 out of 100 |
| #5 | open_clipPyTorch library for training and running CLIP-style image-text models | 78 out of 100 |