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In this article, we'll build a Hindi character recognition app, with a dataset of your own choice or simply following the steps given.
This article talks about different images stored in the folder, and now we will use the Pigeon library to annotate the unlabeled dataset.
Several Deep Learning algorithms are employed for the widely used document scanner applications as the results are thorough and accurate.
RetinaNet is one of the best single-stage object detection models that work well with dense and small objects.
Yolov7 is the new state-of-the-art real-time object detection model. You can use it for different industrial applications. Give it a try today!
This article briefs you about what is openCV and how to work with images and videos using the OpenCV library
OpenCV arithmetic operations can help improve the input images' properties and help analyze them. Read more to know!
In this article, we will see how colorization of images can be done using some concepts of OpenCV and Deep Learning.
CLAHE works on small areas of an image called tiles rather than the complete image. This algorithm can be used to improve image contrast.
Template matching is a high-level computer vision approach that detects image portions that match a predetermined template
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