In Computer Vision one of the common goal is to interpret images up to level ... information facilitating human object interaction. Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei. Visual ...

Convolutional Neural Network (CNN) is the most popular deep network architecture used to analyze visual imagery. This paper discusses waste object detection, a part of the waste segregation process ...

Image classification represents the most straightforward among the three tasks and entails the categorization of an entire image into one of several predetermined classes. The outcome of an image ...

Image classification and object detection techniques are important methods when it comes to working on the domain of computer vision. These techniques help machines understand and identify real-time ...

We demonstrate the proposed method in three real-world power inspection image datasets for visual classification, object detection and defect detection tasks respectively, and the effects of ...

DCNNs have achieved remarkable success in image recognition tasks such as image classification, object detection, and facial recognition, owing to their ability to capture high-level representations ...

Microsoft improved the object ... image classification models with the ML.NET CLI "While previously ML.NET offered the ability to consume pre-trained TensorFlow and ONNX models for object detection ...