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The career path for whoever chooses OpenCV as the tool is computer vision developer or IOT Engineer and also in AR/VR.
Model Calibration gives insight of uncertainty in the prediction of the model and in turn, the reliability of the model.
This article will help you create an image classification of the Cifar-10 dataset using CNN in 10 different classes.
Stable Diffusion AI is a text-to-image model created by a collaboration between engineers and researchers. Read more to know!
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.
This article briefs you about what is openCV and how to work with images and videos using the OpenCV library
CLAHE works on small areas of an image called tiles rather than the complete image. This algorithm can be used to improve image contrast.
Learn about edge detection, its importance, and deep learning approaches. Explore Canny and HED implementations and evaluation metrics.
Logo detection is a part of a broader family of object detection. In object detection, we predict the bounding box for objects in an image.
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