Artificial intelligence and machine learning have great ability to solve real-time problems related to various fields and have many applications. One such subfield is deep learning, deep learning has ...

In the cutting edge and quick world, finding a precise and proficient object recognition for headway in Computer vision frameworks has been integral part. With the emerge offaster (due to faster and ...

About Localize and segment multiple objects by pre-training the backbone of YOLOv5 using an autoencoder deep-learning object-detection semantic-segmentation self-supervised-learning yolov5 Readme ...

Key Features Smart Surveillance Solution: Proactively detect loitering in public areas. YOLOv5 Integration: Accurate, real-time object detection. Scalability: Suitable for various surveillance ...

Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

This study investigated an object detection technique for lung cancer using the YOLO object detection model to train and validate the model and evaluate whether it can effectively detect the types of ...

The proposed method is based on the VarifocalNet deep-learning object detection framework, which is a method aimed at accurately ranking a huge number of candidate detections in object detection.