In today's scenario, when technology is fast evolving and the use of AI is growing extensively, data labelling plays an important role. Data labelling is the key that allows Ai to build an accurate understanding of the real-world environment and situations. Accurate and precise labelling of data is the crucial factor that improves machine learning and keeps AI evolving.
Once enough data has been labelled and fed to the Ai, it will start learning to identify patterns from unstructured data.
At Mauconsult, our experts in image annotation, audio annotation, text annotation and video annotation process any input data and generate accurate training datasets suitable for your machine learning and AI purposes.
Image annotation
At Mauconsult, we accurately label the data and provide image specific details to train the computer vision model. Image annotation helps the training model know which parts of the image are important, and it can later use that information to identify those parts in different scenarios and images.
Video annotation
Video annotation is similar to image annotation but not quite the same. Video annotation involves labelling images on a frame by frame basis in a video to make the vision model recognise the object and the movement in the video.
Audio Annotation
Audio annotation is critical in the era of virtual assistance. Our experts in data labelling manually listen and classify the different components of the audio and make it more understandable for the machines.
Text Annotation
In Text annotation, labels are assigned to any document, digital file, text or content to train machines how to read, understand and initiate valuable interactions with humans.