Crowds

Crowdsourcing is a technique that leverages collective intelligence for data annotation and task allocation, widely applied in the field of computer vision. Its core objective is to collect a large amount of high-quality annotated data through crowdsourcing platforms to enhance the training effectiveness and generalization ability of machine learning models. Crowdsourcing can effectively reduce the cost of data annotation, accelerate the model iteration process, and improve algorithm performance, making it a technology of significant application value.