Hugging Face has just released FineVision, an open multimodal dataset designed to set a new standard for Vision-Language Models (VLMs). With 17.3 million images, 24.3 million samples, 88.9 million question-answer turns, and nearly 10 billion answer tokens, FineVision position itself as one of the largest and structured publicly available VLM training datasets. FineVision aggregates 200+ […] The post Hugging Face Open-Sourced FineVision: A New Multimodal Dataset with 24 Million Samples for Training Vision-Language Models (VLMs) appeared first on MarkTechPost.
Hugging Face Open-Sourced FineVision: A New Multimodal Dataset with 24 Million Samples for Training Vision-Language Models (VLMs)
Hugging Face has just released FineVision, an open multimodal dataset designed to set a new standard for Vision-Language Models (VLMs). With 17.3 million images, 24.3 million samples, 88.9 million question-answer turns, and nearly 10 billion answer tokens, FineVision position itself as one of the largest and structured publicly available VLM training datasets. FineVision aggregates 200+ […] The post Hugging Face Open-Sourced FineVision: A New Multimodal Dataset with 24 Million Samples for Training Vision-Language Models (VLMs) appeared first on MarkTechPost.