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Whether you're an artificial intelligence expert looking for best practices to structure your data, or a data labeler aiming to sharpen your skills, this resource center was made for you. You'll find guides, methodologies, real-world feedback, and practical tools to help you better understand annotation challenges, the specificities of different use cases (vision, audio, NLP, multimodal, etc.), and the quality standards we apply every day. Learn, explore, improve — AI starts with data!
