Fabric design recognition
you will learn "how to create a fabric recognition system" using computer vision (OpenCV) and Histogram of Oriented Gradients (HOG) feature extraction method in python.
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Product shape detection and analysis
you will learn how to create a product shape detection and analysis system with the help of computer vision(opencv), image thresholding and contour feature extraction functions in python.
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Fabric Texture Analysis using computer vision(OpenCV) in python
how to create a program on fabric texture analysis using Opencv, computer vision, and image recognition. Quality of texture in fabric industries plays an important role which can only be…
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Tiger Image Dataset
The tiger image dataset consists of a total of 1258 images. The data is divided into 1058 training images and 200 testing images.
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Person Face Image Dataset
The person face image dataset consists of a total of 2000 images with a frontal side face position. The data is divided into 1800 training images and 200 testing images.
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Bicycle Image Dataset
The bicycle image dataset consists of a total of 1380 images. The data is divided into 1080 training images and 300 testing images.
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Car License Plate Dataset
This dataset is a collection of vehicle number plate images. The dataset which we are providing will help to train your model and in object detection. Over the past few years, traffic…
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Face Mask Image Dataset
To prevent the extent of the COVID-19 virus, now it is obligatory to wear a mask. In many circumstances, the technology of facial recognition is worthless. To deal with this situation where a…
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Driverless Car
Hello MAVII learners, In this blog post we will discuss a topic on Autonomous Car (self-driving car or a driverless car). A driverless car(self-driving car) is made up of or a combination of…
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AI Weapons
Hello MAVII learners, In this blog post we will discuss on topic artificial intelligence (AI) for the defense system. “Russian President, Vladimir Putin also said that AI is the future,…
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Tiger Image Dataset
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Face Mask Image Dataset
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