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Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, keypoint detection (oftentimes used for pose estimation) was extracted. Keypoints can be various points - parts of a face, limbs of a body, etc....
David Landup
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, instance segmentation was extracted, and is tasked with having models predict not only the label and bounding box of an object, but also the...
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". From it, keypoint detection (oftentimes used for pose estimation) was extracted. Object detection and keypoint detection aren't as standardized as image classification, mainly because most of...
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". Object detection isn't as standardized as image classification, mainly because most of the new developments are typically done by individual researchers, maintainers and developers, rather than...
Object detection is a large field in computer vision, and one of the more important applications of computer vision "in the wild". On one end, it can be used to build autonomous systems that navigate agents through environments - be it robots performing tasks or self-driving cars, but...
Tensors are multi-dimensional objects, and the essential data representation block of Deep Learning frameworks such as Tensorflow and PyTorch. A scalar has zero dimensions, a vector has one dimension, a matrix has two dimensions and tensors have three or more. In practice, we oftentimes refer to scalars and vectors and...
Time series data, as the name suggests is a type of data that changes with time. For instance, the temperature in a 24-hour time period, the price of various products in a month, the stock prices of a particular company in a year. Advanced deep learning models such as Long...
Usman Malik
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