Object Detection Web App with TensorFlow, OpenCV and Flask
- 4.6
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Brief Introduction
Build an Object Detection Model from Scratch using Deep Learning and Transfer LearningDescription
Detecting Objects and finding out their names from images is a very challenging and interesting field of Computer Vision.
The core science behind Self Driving Cars, Image Captioning and Robotics lies in Object Detection.
In this course, you are going to build a Object Detection Model from Scratch using Python's OpenCV library using Pre-Trained Coco Dataset.
The model will be deployed as an Web App using Flask Framework of Python.
TECHNOLOGIES & TOOLS USED
Python
Machine Learning
Deep Learning
Transfer Learning
Tensorflow
OpenCV
Flask
Requirements
- Requirements
- Beginner Knowledge of Python
Yaswanth Sai Palaghat
4.6 Raiting
Deep Learning Computer Vision™ CNN, OpenCV, YOLO, SSD & GANs
- 4.4
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2020 Update with TensorFlow 2. 0 Support. Become a Pro at Deep Learning Computer Vision! Includes 20+ Real World Projects Update: June-2020...
Object Detection Web App with TensorFlow, OpenCV and Flask
- 4.6
-
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![]()
![]()
![]()
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Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning The core science behind Self Driving Cars, Image Captioning and Robotics lies in Object Detection....
