4.0
Reviewed Mar 29, 2021A very good and helpful project for object detection. It would be absolute 5-stars guided-project if there was also an example for multiple object detection.
Most helpful project. Cleared a lot of things
Object Localization with TensorFlow
Welcome to this 2 hour long guided project on creating and training an Object Localization model with TensorFlow. In this guided project, we are going to use TensorFlow's Keras API to create a convolutional neural network which will be trained to classify as well as localize emojis in images. Localization, in this context, means the position of the emojis in the images. This means that the network will have one input and two outputs. Think of this task as a simpler version of Object Detection. In Object Detection, we might have multiple objects in the input images, and an object detection model predicts the classes as well as bounding boxes for all of those objects. In Object Localization, we are working with the assumption that there is just one object in any given image, and our CNN model will classify and localize that object. Please note that you will need prior programming experience in Python. You will also need familiarity with TensorFlow. This is a practical, hands on guided project for learners who already have theoretical understanding of Neural Networks, Convolutional Neural Networks, and optimization algorithms like Gradient Descent but want to understand how to use use TensorFlow to solve computer vision tasks like Object Localization.
Status: Data Synthesis
Status: Tensorflow
IntermediateGuided Project2 hours
Featured reviews
4.0
Reviewed Mar 31, 2021I really liked the course and how it was the next step from a classification problem.
4.0
Reviewed Jul 30, 2021It is pretty good for ConvNets beginners, but you need to have prior knowlegde in python(OOP, tf, keras, nn programming)
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Mohd.
5.0
Reviewed May 16, 2021Alexandros
4.0
Reviewed Mar 30, 2021A very good and helpful project for object detection. It would be absolute 5-stars guided-project if there was also an example for multiple object detection.
Miguel
4.0
Reviewed Jul 31, 2021It is pretty good for ConvNets beginners, but you need to have prior knowlegde in python(OOP, tf, keras, nn programming)
Lance
5.0
Reviewed Mar 31, 2022If you want to learn the basics and some advanced techniques in TF on object localization, this will help you get to understand each step of the process.
Shahbaz
5.0
Reviewed May 13, 2021A fine project for CNN beginers.
Libero
5.0
Reviewed Sep 7, 2025Πολύ καλό μάθημα.
Massimiliano
5.0
Reviewed Apr 29, 2021very good project
Asad
5.0
Reviewed Jul 9, 2022Great work
Balázs
5.0
Reviewed Aug 1, 2021Thank you!
Raimond
4.0
Reviewed Aug 20, 2023If you want to get basics to object localization. Give it a try. Keep in mind, that you will need to either run code on your PC or have a Google account to run it on Colab. Also audio quality is not the best.
Ibrahim
4.0
Reviewed Apr 1, 2021I really liked the course and how it was the next step from a classification problem.
Saad
4.0
Reviewed Jul 31, 2024a bit outdated but I managed to make it work.
Kleider
4.0
Reviewed Mar 1, 2022What a good course!
Hari
4.0
Reviewed Jul 12, 2022hello
Oren
3.0
Reviewed May 22, 2021Thank you for the organizers and the author. I have learned a thing or two. I did not fully enjoyed. I will avoid giving suggestions as I just cannot put my finger on what bothers me. It just did not work for me. Something was wrong.
marco
1.0
Reviewed Mar 9, 2024so superficial