10 plus Project Ideas for Computer Vision

The aggressive growth of large data during the last decade drives for innovative methods to?extract high semantic information from raw sensors such as videos, images & speech?sequences.??

Deep learning?is a sub-head of Machine Learning and a mechanism of Artificial Intelligence. It copies the work of human brain-like feature extraction through neural networks which has?a statistical collection of techniques in the form of layers; manual interpretation of data is not?required here.??

What is Computer Vision??

Computer vision is seeing objects and extracting information based on the visuals. The?algorithms of computer vision analyze certain criteria in images and videos then apply?exposition to predictive or decision making tasks.?

The range of project ideas that deep learning enables computer vision is wide. Here we have compiled 10 Plus Project Ideas for Computer Vision-

1) Image Classification:- It involves the recognition of objects within an image or video.?Example, MNSIT data set, it contains a set of alphabets or numerals (0-9) in handwriting. Image classification is a prominent deep learning application of computer vision. We can test out multiple algorithms without facing technical issues. Image classification focuses on separating the pixels of a picture according to the classes they belong to. You’d have to build a convolutional neural network through these AI tools for completing this project. It helps in not only understanding image classification but helps to discover most relevant AI tools of the industry TensorFlow & Keras.

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2) Object Detection:- It is a part of image classification but works on large frame?images which have lots of objects. Object Detection is a technology where things, human, building, cars can be detected as objects in images and videos. Fig 2. Classification, Object Detection and Segmentation Representation Eg:- A street scene, there are pedestrians, cars,?streetlights etc. that requires special attention. We can achieve this by drawing a bounding box around each object separately.?

This project can help in understanding the?Convolutional Neural Networks?(CNN) which are a class of neural networks that have achieved state of the art results on difficult object detection problems. A traditional feedforward network flattens the matrix of pixel values, resulting in the loss of the spatial structure of the input.

3)?Object Segmentation:- It is almost similar to object detection but rather than using a bounding box, it detects the object from pixel. Eg, a group of people in a photograph.?