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### Category Name
Computer Vision
### Subcategory Name
'Overview of computer vision and its Applications', 'Image Processing & Transformation', 'Feature Extraction and Description', 'Deep Lea…
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### Detailed Description
What can previous models recognise and how well?
What other classifications are there in the models?
Are there newer versions of the models in pytorch / ultralytic?
Should…
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@DhanushNehru
Smart Attendance System Using QR code attendance
I hope you will assign this issue to me , As I will Push my project to this repo under **hacktoberfest** tag.
Thank you.
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@king04aman
Smart Attendance System Using QR code.
I hope you will assign this issue , As I will push that project to my repo under **hactoberfest** tag.
Thank you.
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### What needs to change?
We will need to create a computer vision model for detecting the different phases of the light tower object. Previously we attempted this with a classical model of detecting…
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### What needs to change?
Similar to #1268, we will need to develop a computer vision model to detect the red, green, and blue tins that lay on the drone landing pads. To the down camera, these will …
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We want to use computer vision algorithms for the following few tasks. They may require very different models/skills.
1. Determine if the battery is successfully grabbed by the crimper robot. This …
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### What needs to change?
We will need to detect the color of each bay for the docking mission, to determine which one to dock in. This could be done with classical CV or ML, although ML might …
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OMR (Optical Mark Recognition) is a technique used to capture human-marked data from documents like multiple-choice exams, surveys, and ballots. An OMR scanner identifies marks made by users (typicall…
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I have recently stumbled upon this very interesting computer vision article about recognizing species of insects which can be hard to identify. Maybe you will find there some ideas for further improvi…