OBJECT DETECTION IN CROWD ENVIRONMENT USING DEEP LEARNING

OBJECT DETECTION IN CROWD ENVIRONMENT USING DEEP LEARNING

D.Chandana1, K.Ashritha 2, B.Rishitha 3, N. Swapna 4

Department of Electronics and Computer Science, Sreenidhi Institute of Science and Technology, Hyderabad, India

ABSTRACT: The objective is to use the You Only Look Once (YOLO) method to identify objects. This approach enjoys a critical upper hand over different techniques for perceiving things. Utilizing the YOLOV5 calculation, we use picture, video, and live information to recognize in this. In contrast to other approaches, such as Convolutional Neural Network and Fast Convolutional Neural Network, which do not fully examine the image, YOLO uses a convolutional organization to predict the bouncing boxes and class probabilities for these containers. On the other hand, YOLO detects the image more quickly than other algorithms.

Keywords : object detection; YOLOv5; drone images.