Abstract: Vehicle and pedestrian detection (VaPD) is one of the most critical tasks in an advanced driver assistance system which help the driver to drive safely and save the pedestrian life. VaPD is ...

As adults, it is our duty to follow traffic rules, and the most important rule is to wear a helmet while riding a two-wheeler and not to cross the speed limit. It's not a rule, but it's also for ...

BONUS: Custom Object Counting Mode (TensorFlow implementation): You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to ...

Background and object: Mitotic count (MC) is a critical histological parameter for accurately assessing the degree of invasiveness in breast cancer, holding significant clinical value for cancer ...

Although the Vision Transformer architecture has become widely accepted as the standard for image classification tasks, using it for object detection in computer vision poses significant challenges.

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...

School of Computer Science and Technology, Shandong University of Technology, Zibo, China. In today’s field of computer vision, human posture recognition is a hot topic of research work. Its main task ...

Abstract: Sorting is a regular process for many industries and small businesses. The paper proposes a low-cost automated system using Deep Learning, Raspberry Pi 3 module B, and a conveyor belt system ...

Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.

Sushil Ostwal presented on automated ID extraction from scanned documents at the CVDC 2020 conference. Extracting IDs from physical forms is complex and time-consuming, necessitating efficient ...