object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...

Yadullah Abidi is a Computer Science graduate from the University of Delhi and holds a postgraduate degree in Journalism from the Asian College of Journalism, Chennai. With over a decade of experience ...

In our running series “Fantastic CAPTCHAs and How We Wrestle Them,” the next challenger in the ring is Arkose Labs’ FunCaptcha. Classic checks (think reCAPTCHA) lean on distorted characters or stock ...

A web-implemented real-time object recognition application, using Tensorflow.js and React.js. The object detection is done via single-shot detection(ssd). Our method required shorter time which is a ...

Abstract: Oriented object detectors provide many scientific solutions for object detection tasks in remote-sensing scenes. Among them, anchor-free oriented object detectors have attracted much ...

Abstract: Computer Vision is a technology in which computers are trained using machine learning and deep learning algorithms to recognize and process objects from video/images in the same way that ...

OpenCV (Open Source Computer Vision Library) has emerged as a cornerstone inside the subject of laptop vision and image processing. Its Python variation, opencv-python, stands proud for its ...

We tackle the problem of novel class discovery, detection, and localization (NCDL). In this setting, we assume a source dataset with labels for objects of commonly observed classes. Instances of other ...

Earlier this month, security researcher and former Google employee Felix Krause published a report detailing how Instagram, Facebook, and other apps can use the in-app browser to track people’s online ...

In other words, Microsoft is developing fabric that can recognize and identify objects nearby. So what do you mean by smart fabric? Smart fabric refers to textiles that embed technology such as ...