A short while ago, our team of data annotators labeled nearly 25 thousand images of faces, classifying them by age, gender, hair color, beard and mustache color (if present), and glasses. We then released the annotated dataset free to the public. You can download the annotated face classification dataset here. …

Object segmentation is the process of extracting the pixel-wise mask of an object or region of interest from an image. We usually use mask to train models to detect and localize similar objects. Essentially, this is a process of assigning a label to each pixel in an image, thus assigning…

Often, the hardest part of training a ML model is obtaining the right data. This is even more true for fields where the data is especially sensitive and private, such as healthcare. …

No conversation on AI in the medical domain is complete without delving into medical imagery. Medical images are often problematic, though, because of all the different formats that exist. …

Machine Learning is disrupting the world of medicine and healthcare, allowing professionals to diagnose patients better and faster than before. But to train ML models, we need high-quality annotated medical images. This is where medical image annotation comes into play. ML has the potential to revolutionize the entire medical pipeline…

Medicine and Healthcare have long been on the forefront of scientific and technical innovation. According to a recent survey, global healthcare spending stands at nearly $10 Trillion. A considerable fraction of this investment goes into integrating technology into the healthcare industry. One of the most promising avenues at the confluence…

There are billions of images shared every day on the internet, with each capturing a potentially useful part of the world around us. Images are a rich source of information, and we can use them to train machines to understand our world. However, unlabeled or unstructured data is of very…

Data scientists agree: the quality of the training data is a key determinant of the quality of the final model. However, high quality annotated data is usually slow to come by, as humans need to be involved in the process of creating it. This process can be sped up, however…

Our data science and ML teams are working hard on delivering our customers an all-new AI assistance feature: Magic Prediction. We aim to release this feature in the upcoming weeks. …