Data collection is a pivotal stage in developing and training artificial intelligence (AI) and machine learning (ML) models. One of the quickest, most scalable data collection methods is crowdsourcing—collecting large amounts of valuable and diverse data samples that can lead to better insights.
Over the past few years, numerous tech companies have started using crowdsourced data collection. With the advancement of machine learning technology, it’s crucial to have an effective data collection approach to gather varied and distinctive data that can enhance the user experience of their products and services.
Our Client, one of the world’s leading technology companies, was looking for a partner to assist them in crowdsourcing video data collection to train their machine learning models to recognize facial expressions better, further improving the user experience of their products. Based on the project’s demographic diversity requirements and complexity, they ultimately selected Us as their data collection partner.
Our Teammates carefully evaluated the Client’s specific technical requirements as well as the complexity of the project and came up with these solutions:
In the end, we delivered over 11,000 high-quality video samples from 12 different demographic groups to enhance our Client’s machine learning models.
Learn more about how to collect a high-quality and diverse set of data by downloading the case study, Crowdsourced Video Data Collection for a Leading Social Media Company.Download Case Study