Object Detection with Tensorflow|Practical with real time dataset

Object Detection with Tensorflow|Practical with real time dataset

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From Beginner Level to Advanced Level | Completely Practical Oriented | NO Coding background is required

Updated on Sep, 2026

Programming, Data Science, Tensorflow

Duration - 2.5 hours

Training 5 or more people ?

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Machine learning is an exponential technology from IBM Watson, SIRI, self driving car which are taking on the world and artificial neural network is heart of it. Object Detection is an essential technique for artificial visualization in Robotics, AI Sensory tools and many more. But the problem is Object detection with your own dataset is simply not taught at university.

Well, online training is good option, and that's why we had a look at some of the Tensorflow object detection courses available online right now and what we found was that you all have solid background in computer science or mathematics to understand what's going on and none of the course was robust in structure. That's why we developed fully practical oriented course where non technical person can also train the tensorflow model. With your own dataset, This course will help you to detect your own object from the surroundings.

Watch this excellent preview and Demo video of the course using below link

Click Here to Watch Demo !

The first thing I have focused on is a robust structure navigating a complex topic with training your own dataset. This course won't required any coding background. All types of students can learn this course. Anyone can change their existing domain with computer vision.

At the end of the course students will be able to detect any object from surroundings i.e. Dataset preparation to Training you own model. We are extremely passionate about bringing Machine learning to everybody on this planet and today we need your support to make this dream in reality.

Start a career path in Machine learning and enroll today. I will see you inside the course.

Check out the detailed breakdown of what’s inside the course

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