Designing of image classification and processing procedure by considering various factors involved, decides the success of the classification approach being used. This paper provides a summarization ...

Our object detection consists of a two-step process based on motion and a patch-based convolutional ... novel methods need to tackle application-related challenges such as small object tracking in ...

Abstract: Deep learning has been applied successfully in the machine visual field, and it has already surpassed humans in object detection of images. Object detection ... in the one-stage method to ...

most object detection networks use an image classification CNN and repurpose it for object detection. Object detection is a supervised machine learning problem, which means you must train your ...

“The one million image milestone is the result ... software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive ...

Open source is fertile ground for transformative software, especially in cutting-edge domains like artificial intelligence (AI) and machine learning ... object detection, or finding objects in ...