Object detection

Pneumonia accounts for over 15% of all deaths of children under 5 years old internationally. In 2015, 920,000 children under the age of 5 died from the disease. While common, accurately diagnosing pneumonia is difficult. It requires review of a chest radiograph (CXR) by highly trained specialists and confirmation through clinical history, vital signs and laboratory exams. An example chest radiograph looks like this: Pneumonia usually manifests as an area or areas of increased lung opacity on CXR. ...

Can we train an object detector from scratch (no training data, no tools) without writing any code or knowing anything in machine learning? The answer is, yes. I am planning to guide you through such a process step-by-step in this blog post. Let’s say, we would like to build a sheep detector, which can later be deployed in a mobile phone to track sheeps in a field and send you an alarm if sheeps go too far. ...

Face detection can be regarded as a specific case of object detection. In object detection, the task is to find the locations and sizes of all objects in an image. Examples include pedestrians, cars, street signs and so on. Face detection algorithms focus on the detection of human faces. Intelec Hub Intelec Hub is a collection of trained models, which are presented to you by Intelec AI. You can easily deploy these models and use them. ...

Hello to everyone. The purpose of this post is to talk about object detection and show you how one can easily build and deploy an object detector using Intelec AI. Ok, let’s get started. Object detection Object detection is a subfield of computer vision, which is dedicated to identifying objects in images and videos. The use cases are endless, be it object tracking, video surveillance, self driving cars or face detection. ...