The inaugural Data-Centric AI competition is now live on Hugging Face Spaces, where participants can curate a subset of a dataset that achieves two contradictory goals: reducing size while maintaining or improving object detection model performance. The competition offers prizes for first, second, and third places, as well as integrations with FiftyOne and Hugging Face's transformers library, which streamlines computer vision workflows and enables the application of transformer models to datasets. Additionally, FiftyOne integrates with the Hugging Face Hub, simplifying dataset sharing and access to popular computer vision datasets.