Showing 4 open source projects for "image segmentation"

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  • 1
    Qwen-Image

    Qwen-Image

    Qwen-Image is a powerful image generation foundation model

    ...The model excels not only in text rendering but also in a wide range of artistic styles, including photorealistic, impressionist, anime, and minimalist aesthetics. Qwen-Image supports sophisticated editing tasks such as style transfer, object insertion and removal, detail enhancement, and even human pose manipulation, making it suitable for both professional and casual users. It also includes advanced image understanding capabilities like object detection, semantic segmentation, depth and edge estimation, and novel view synthesis.
    Downloads: 7 This Week
    Last Update:
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  • 2
    LISA

    LISA

    LISA: Reasoning Segmentation via Large Language Model

    LISA is an open-source multimodal AI system designed to enable language models to perform pixel-level reasoning and segmentation tasks on images. The project introduces a framework where a large language model can interpret natural language instructions and produce segmentation masks that highlight relevant regions in an image. Instead of relying solely on predefined object categories, the model is capable of reasoning about complex textual queries and translating them into visual segmentation outputs. ...
    Downloads: 0 This Week
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  • 3
    InternGPT

    InternGPT

    Open source demo platform where you can easily showcase your AI models

    ...The framework connects multiple specialized AI models that perform tasks such as object detection, segmentation, captioning, and visual editing while coordinating them through a central conversational interface. This architecture enables the system to plan actions, execute visual operations, and return results in a coherent dialogue with the user.
    Downloads: 0 This Week
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  • 4
    Easy DataSet

    Easy DataSet

    A powerful tool for creating datasets for LLM fine-tuning

    Easy DataSet is a comprehensive open-source tool designed to make creating high-quality datasets for large language model fine-tuning, retrieval-augmented generation (RAG), and evaluation as easy and automated as possible by providing intuitive interfaces and powerful parsing, segmentation, and labeling tools. It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure...
    Downloads: 8 This Week
    Last Update:
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