The Object Detection is a typical Computer Vision problem which deals to recognize and find the object of specific classes in the picture or a video. The object localisation can be interpreted in different possible manners, like making a bouncing box around the object or marking each pixel in the image which contains the item named as segmentation.
Endless possibilities with computer vision
Our company focuses to gather valuable insights of business from pictures, information and content through artificial intelligence, image detection and computer vision. We use information to drive business activities and upgrade the client experience. Embedica’s contributions to improve the digital experience to observe physical spaces, the practical possibilities for image detection in diverse domains are unending.
This project detects the predefined objects in the image. We can train the model with objects we want to detect. For example, we can give banana images to the model and after that, it can detect the bananas from the image or real time video feed. This can be used for autonomous vehicles, factories for automated machines or anywhere which is classifying objects is necessary (security cameras etc.)
Libraries: tensorflow API, opencv, numpy, tensorflow
