📂 Fall-Object-Detection │── 📄 app.py # Backend logic (Flask) │── 📄 index.html # Frontend UI (HTML, CSS, JS) │── 📄 requirements.txt # Dependencies │── 📂 static/ # CSS, JS, Images │── 📂 uploads/ # ...

Here I integrated the YOLOv5 object detection algorithm with my own created dataset which consists of human activity images to achieve low cost, high accuracy, and real-time computing requirements ...

However, it is necessary to work with far-infrared (FIR) images in the low-light ... field and have been trained using the first large public labeled FIR dataset. Thus, we have developed the first ...

One is to maintain detection performance in unseen environments without retraining using images and labels from unseen environments. The other is to reduce the tight requirements of labels. In object ...

AI detects objects in images by using computer vision techniques that ... However, Meta is moving out of the conventional method of AI detection, as its new AI, Segment Anything, can detect ...