The technique of landmarking is mapping a series of points to provide precise information that can identify the various sizes and shapes of items.For AI machine vision, in-depth and insight knowledge is gained by Landmark Point Annotation which identifies human faces, gestures, facial emotions, and postures. In order to construct the datasets, Data Annotate uses a landmark point annotation service to make a human face and various stances recognizable.
To establish an expected, required and/ or desired standard of quality in recognizing the various facial emotional reactions of humans under different situations, Landmark key point annotation is a reliable service. Machines are able to learn the different reactive facial expressions that are marked with important details, measures of faces and anticipate the human expressions. Landmark data annotation performs this task precisely.
The goal of landmark annotation is to teach the machines to recognize the human faces accurately. The presently available smartphones which are AI enabled are capable of face detection using this technique. Biometric authentication is also the result of marker annotation technique. Landmark annotation also comprehends the complexity of many human faces and their gestures, poses etc., The same technique can also be applied to learn and read the other living beings.
Landmark annotation is much useful in the world of Sports. The various behavioural reactions of players, judges and peoples are most important dataset for the analysis of the outcome of a sport. The proper action taken by the participants in a sport is aided by the landmark data annotation information. Once various human poses are annotated and fed into the AI algorithm, a best visual perception model can be developed to recognize various stances of humans.
Services for Data Annotation for Computer Vision Training Sets
Data Annotation enables the machines to learn and train datasets with the highest level of accuracy by confronting international standards of data quality
Consistent and constant sourcing of streaming data is one of the industrial demands for the machines to learning and training of the real time environments. The scalability of the work force and economic challenges the growth and fulfil the project completion. We have well trained and experienced work force to execute and implement the demanding solutions of all situations
We gained strong trust and confidence of our clients on the privacy, security and confidentiality of data in work execution by adhering to the international data security, privacy and confidentiality norms.