Films with abandoned objects may be identified and traced using this paper’s technique. Especially in high-traffic locations like railway stations and airports, unattended baggage poses a severe ...

Thisreport presents an object detection model for visually impaired persons for object detection, face recognition, navigation and distance measurement. The system model uses a webcam to captures ...

-- Transfer Learning: use powerful pre-trained on big dataset (COCO) model as a startining point for fine-tuning foe needed classes. -- Active Learning: human annotator labels small set of images ...

'Understanding human activity in images and/or videos is a fundamental step toward building socially aware agents, semantic image/video retrieval, captioning, and question-answering,' Huang said.

Image classification vs object detection. TinyML has made great progress in image classification, where the machine learning model must only predict the presence of a certain type of object in an ...

Fig. 1: DETR transformer model compares its prediction with the ground truth. When there is no match, it would yield a “no object.” A match would validate an object. Source: “End-to-End Object ...

It comes with Azure Machine Learning, a cloud service to build and deploy ML models faster. In the monthly September update to ML.NET -- bringing it to v1.5.2 -- Microsoft introduced: The ability to ...

Machine learning aids in detection of 'brain tsunamis'. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2025 / 03 / 250319143026.htm ...