Object detection using YOLO: challenges, architectural successors, datasets and applications.

Object detection is one of the predominant and challenging problems in computer vision. Over the decade, with the expeditious evolution of deep learning, researchers have extensively experimented and contributed in the performance enhancement of object detection and related tasks such as object classification, localization, and segmentation using underlying deep models. Broadly, object detectors are classified into two categories viz.

Overview and project highlights of an initiative to integrate diabetic retinopathy screening and management in the public health system in India.

Purpose: Diabetes is a public health concern in India and diabetic retinopathy (DR) is an emerging cause of visual impairment and blindness. Approximately 3.35-4.