Computer Vision project ideas Beginner to Advance.

Beginner level projects:

Faheem Khan

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Mar 9, 2023

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1. Image Classification: Build a model that can classify images into different categories based on the content.
2. Object Detection: Build a model that can detect and locate objects within an image.
3. Facial Recognition: Build a model that can recognize and identify people based on their facial features.
4. Image Segmentation: Build a model that can divide an image into different segments based on the content.
5. Optical Character Recognition (OCR): Build a model that can recognize and convert text within an image into digital text.

Intermediate level projects:

1. Image Captioning: Build a model that can generate a caption or description for an image.
2. Style Transfer: Build a model that can transfer the style of one image onto another image.
3. Pose Estimation: Build a model that can estimate the poses of people or objects within an image.
4. Video Classification: Build a model that can classify videos into different categories based on the content.
5. Generative Adversarial Networks (GANs): Build a model that can generate realistic images by training a generator network against a discriminator network.

Advanced level projects:

1. Object Tracking: Build a model that can track objects over time within a video.
2. Image Super-Resolution: Build a model that can increase the resolution of low-resolution images.
3. Video Object Segmentation: Build a model that can segment objects within a video based on the content.
4. Visual Question Answering (VQA): Build a model that can answer questions about an image.
5. 3D Object Recognition: Build a model that can recognize and classify 3D objects from a set of 2D images.