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With just a few lines of MATLAB^® code, you can build machine learning and deep learning models for object recognition without having to be an expert.

1. Matlab Object Recognition
2. Object Detection Tensorflow

Using MATLAB for object recognition enables you to be successful in less time because it lets you:

This example shows how to train a you only look once (YOLO) v2 object detector. Deep learning is a powerful machine learning technique that you can use to train robust object detectors. Several techniques for object detection exist, including Faster R-CNN and you only look once (YOLO) v2.

1. Use your domain expertise and learn data science with MATLAB:

   You can use MATLAB to learn and gain expertise in the areas of machine learning and deep learning. MATLAB makes learning about these fields practical and accessible. In addition, MATLAB enables domain experts to create object recognition models – instead of handing the task over to data scientists who may not know your industry or application.

2. Use apps to label data and build models:

   MATLAB lets you build machine learning and deep learning models with minimal code.

   With the Classification Learner app, you can quickly build machine learning models and compare different machine learning algorithms without writing code.

   Using the Image Labeler app, you can interactively label objects within images and automate ground truth labeling within videos for training and testing deep learning models. This interactive and automated approach can lead to better results in less time.

3. Integrate object recognition in a single workflow:

   MATLAB can unify multiple domains in a single workflow. With MATLAB, you can do your thinking and programming in one environment. It offers tools and functions for deep learning and machine learning, and also for a range of domains that feed into these algorithms, such as robotics, computer vision, and data analytics.

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2. This code detects various objects as given in the GUI. Users can add their own code also. Users run GUINIT.m file in matlab. A GUI window will automatically be generated and select a video and an image. Selecting video will result in direct execution of detection algorithms and a view of processing.
3. The Matlab/Octave rotations library is a collection of functions, bundled as m-scripts, that address computations and numerical handling of rotations in 3D Euclidean space.The rotation representations that are supported are rotation matrices (Rotmat), Quaternions (Quat), intrinsic ZYX Euler angles (Euler), fused angles (Fused) and tilt angles (Tilt).
4. Thank you i am student of mca and making a project on matlab i am begginer for this software.my project is object detection in video i have so many problem like how i store segmented image in a variable and how i compare it with another frame to know about objectes life. Plz sir help me give me code for my project i find so many code or sites but i could not find proper satisfaction.
5. This is a simple tutorial about detecting objects in a webcam stream using matlab. The object detection is limited to simple colored object. akshar100/Matlab-Image-Detection.

MATLAB automates deploying your models on enterprise systems, clusters, clouds, and embedded devices.

Matlab Object Recognition

Object Detection Tensorflow