No-Code Object Detection: Easily Tackling Image Data-Driven Use Cases – The Official Blog of BigML.com

As shown by the example in this post, we collected enough images, uploaded them, and annotated them with regions and labels. Then we created datasets and trained a Deepnet to perform Object Detection. We also evaluated the model and used it to predict new images that detected objects accurately. All of these tasks were done on the Dashboard with a few clicks. This is as accessible as it gets in Machine Learning. And just as our motto suggests, BigML has made Object Detection beautifully simple for everyone. Be sure to visit the release page of BigML Object Detection, where you can find more information and documentation.