embeddedML

Food Mnist Classification

Photo by Sophia Mii L, ILLO and Animagic Studios on Dribbble This data set consists of 10 food categories, with 5,000 images. For each class, 125 manually reviewed test images are provided as well as 375 training images. On purpose, the training images were not cleaned, and thus still contain some amount of noise. This comes …

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Captcha recognition — on cAInvas

Transcribe captcha images to text using convolutional neural networks. Photo by Alex Castro CAPTCHA stands for Completely Automated Public Turing Test. It is a type of challenge-response test to determine whether the user is a human or an automated system in the computing world. The earliest form of CAPTCHA involved recognizing a sequence of letters or …

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Malicious URL Detection

A malicious website is a site that attempts to install malware (a general term for anything that will disrupt computer operation, gather your personal information, or, in a worst-case scenario, gain total access to your machine) onto your device. So it is necessary to detect malicious websites or URLs and it can be achieved by …

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Question classification — on cAInvas

Finding the category of the question asked, i.e., the type of answer to be given. Photo by Mike Mirandi on Dribbble To answer a question, we need to understand the question and also the type of answer required. Different questions require different formats of answers. Categorizing questions based on answer formats helps in addressing the questions better. …

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Detecting fires in road surveillance — on cAInvas

Classify frames into two categories — fire and not-fire using transfer learning. Photo by Aslan Almukhambetov on Dribbble Accidents on the road can sometimes lead to a fire that can get worse over time. Fires along the road due to other reasons are also be hazardous to the traffic on the road and nearby places. These fires need …

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