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internvl

InternVL-U /ScaleEdit-12M ScaleEdit-12M: Scaling Open-Source Image Editing Data Generation via Multi-Agent Framework &nbsp; &nbsp; &nbsp; 📌 Overview The largest open-source instruction-based image editing dataset to date. ScaleEdit-12M contains 11.8 million rigorously verified instruction–image pairs spanning 23 task families across diverse real and synthetic visual domains. It was constructed using ScaleEditor, a fully open-source hierarchical multi-agent framework that eliminates… See the full description on the dataset page: https://huggingface.co/datasets/InternVL-U/ScaleEdit-12M.tabularimage-to-image10M<n<100M24 likes33k downloads2mo agoHugging FaceWeiyun1025 /InternVL-Performanceimagen<1K0 likes8.2k downloads1y agoHugging Facehanlincs /InternVL-SA1B-Caption-WebDatasetThis repo contains the recaptioned SA1B images in webdataset format. The recaptioned prompts are from https://huggingface.co/datasets/OpenGVLab/InternVL-SA-1B-Caption image10M<n<100M1 likes1.3k downloads1y agoHugging FaceCaptionEmporium /pexels-568k-internvl2 Dataset Card for pexels-568k-internvl2 Dataset Summary This is 567,573 synthetic captions for the images found in ptx0/photo-concept-bucket. The captions were produced using OpenGVLab/InternVL2-40B-AWQ. The dataset was grounded for captioning using the tags originally listed. Languages The text is in English, but occasionally text in images in other languages is transcribed. Intended Usage Training text-to-image models and other machine learning… See the full description on the dataset page: https://huggingface.co/datasets/CaptionEmporium/pexels-568k-internvl2.imagetext-to-image100K<n<1M21 likes604 downloads2y agoHugging FaceOpenGVLab /InternVL-eval2 likes579 downloads2y agoHugging FaceOpenGVLab /InternVL-Chat-V1-2-SFT-Data Data Card for InternVL-Chat-V1-2-SFT-Data Overview Inspired by LLaVA-NeXT, we adopted a data-efficient SFT strategy to train InternVL-Chat-V1-2, utilizing approximately 1.2M of visual instruction tuning samples in total, all of which are fully open-source. In a macro sense, we build upon ShareGPT-4V and additionally integrate LLaVA-ZH, DVQA, ChartQA, AI2D, DocVQA, GeoQA+, and SynthDoG-EN. Most of the data remains consistent with LLaVA-NeXT. Citation If you use… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/InternVL-Chat-V1-2-SFT-Data.imagevisual-question-answering100K<n<1M29 likes352 downloads2y agoHugging Face