Machine Learning starts with a model used by the machine learning system. At first the system can only make very basic predictions, but as training data is fed to the learner and feedback is given about those predictions the AI adjusts its calculations and gets smarter. In order for AIs to be faster and more accurate, they need help being fed training data and getting predictions. That’s where our crowd sourced data training experts come in.
Your AI can only be as good as the training you give to it. Make use of Crowdguru’s scalable workforce to insure your AI has already been given hundreds of thousands of corrections, exceptions, edge cases, and fundamental rules before it goes to use in the real world. Our gurus are ready to take your AI to school! Get started now!
There are many players in the race to automate driverless vehicles, while they all may have their own sources of data and programs to help their systems to learn. They have the shared need to supervise the learning and have every piece of data labeled by human beings. Crowdguru brings your system learning to the front by accelerating the labeling of special and temporal characteristics of a scene.
In order to effectively fulfill their purpose Chatbots need lots of grooming. Starting with massive amounts of data, they need to be oriented in a number of ways: from sentiment analysis, topic relevance, entity extraction, and intent verification. Their data has to contain natural speech and a diversity of phrasing. Our gurus can apply the necessary learnings your chatbot will need to be a successful replacement for the analog.
Whether an image or video, 2D or 3D there are many applications today where a computer needs to understand the visual world its interfaces live in. Still one of computer visions biggest problems remains to identify an object in the various poses it is found or in cases of object occlusion. In this and many other scenarios our gurus can improve your learning systems knowledge with training labeling to develop better classifiers, image feature labeling.
Facial recognition systems report having 97% accuracy. With that; security, retail, and a number of other industries are quickly adopting the technology to augment their efficacy. Still these algorithms have a way to go, they work better when segmenting races, and need a lot of help with sentiment analysis. In all these areas crowdguru is helping to take the AIs to the next level.
All the pieces of machine learning listed above include image segmentation. And your own objectives may have nothing to do with computer vision, facial recognition, or autonomous driving. Either way, it’s a skill in of itself that our gurus poses the ability to provide. And chances are you need a lot of images to be labeled, boxed, annotated or classified in some other way. We can use our own system, or yours. Get in touch and we’ll work out the details.