Key Point annotation is a more detailed protocol of image annotation used to detect small objects and shape variations by marking locations of Key Points. Key Point annotations are used to label a single pixel in the image to portray an object's shape. It is a very precise technique that has its uses in movement tracking and prediction, human body parts detection, emotion, gesture and facial recognition. It is commonly used in sports and security.
Artificial intelligence requires human intervention . The goal of image annotation is to assign relevant, task-specific labels to images so that it is easily understood by the AI. The Image segmentation process consists of the following techniques:
One of the major applications of Key Point annotation is in the field of sports. Modern athletes require the latest technology to complement their physical training. Incorporating image annotation for analyzing performances is an example of that. Key Point annotation can be used to track and recognize miniscule performance improvements that may go unmissed by the human eye. It can also provide an early warning system for various types of injuries. Image annotation helps athletes to compete at the highest level and maintain consistent performance there.
We will design a workflow that ensures strict adherence to quality guidelines provided by our customers. We have meticulously assembled a specialist team of annotators for any type project using a stringent testing process. To deliver our quality data sets, we employ a combination of custom automated checks and expert human evaluation to rectify any errors in the annotated data.Particular attention is paid to Key Point visibility and consistency in both individual frames and the dataset as a whole. This produces annotations that track movement to a high degree of accuracy.