Compare Chatbot Arena vs. Label Studio

Pose any inquiry to two different anonymous AI chatbots, such as ChatGPT, Gemini, Claude, or Llama, and select the most impressive answer; you can continue this process until one emerges as the champion. Should the identity of any AI be disclosed, your selection will be disqualified. You have the option to upload an image and converse, or utilize text-to-image models like DALL-E 3, Flux, and Ideogram to create visuals. Additionally, you can engage with GitHub repositories using the RepoChat feature. Our platform, which is supported by over a million community votes, evaluates and ranks the top LLMs and AI chatbots. Chatbot Arena serves as a collaborative space for crowdsourced AI evaluation, maintained by researchers at UC Berkeley SkyLab and LMArena. We also offer the FastChat project as open source on GitHub and provide publicly available datasets for further exploration. This initiative fosters a thriving community centered around AI advancements and user engagement.

Introducing the ultimate data annotation tool that offers unparalleled flexibility and ease of installation. Users can create customized user interfaces or opt for ready-made labeling templates tailored to their specific needs. The adaptable layouts and templates seamlessly integrate with your dataset and workflow requirements. It supports various object detection methods in images, including boxes, polygons, circles, and key points, and allows for the segmentation of images into numerous parts. Additionally, machine learning models can be utilized to pre-label data and enhance efficiency throughout the annotation process. Features such as webhooks, a Python SDK, and an API enable users to authenticate, initiate projects, import tasks, and manage model predictions effortlessly. Save valuable time by leveraging predictions to streamline your labeling tasks, thanks to the integration with ML backends. Furthermore, users can connect to cloud object storage solutions like S3 and GCP to label data directly in the cloud. The Data Manager equips you with advanced filtering options to effectively prepare and oversee your dataset. This platform accommodates multiple projects, diverse use cases, and various data types, all in one convenient space. By simply typing in the configuration, you can instantly preview the labeling interface. Live serialization updates at the bottom of the page provide a real-time view of what Label Studio anticipates as input, ensuring a smooth user experience. This tool not only improves annotation accuracy but also fosters collaboration among teams working on similar projects.