YOLO-World

[CVPR 2024] Real-Time Open-Vocabulary Object Detection (by AILab-CVC)

YOLO-World Alternatives

Similar projects and alternatives to YOLO-World

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better YOLO-World alternative or higher similarity.

YOLO-World reviews and mentions

Posts with mentions or reviews of YOLO-World. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-13.
  • A History of CLIP Model Training Data Advances
    8 projects | dev.to | 13 Mar 2024
    2024 is shaping up to be the year of multimodal machine learning. From real-time text-to-image models and open-world vocabulary models to multimodal large language models like GPT-4V and Gemini Pro Vision, AI is primed for an unprecedented array of interactive multimodal applications and experiences.
  • FLaNK Stack Weekly 19 Feb 2024
    50 projects | dev.to | 19 Feb 2024
  • Making My Bookshelves Clickable
    2 projects | news.ycombinator.com | 17 Feb 2024
    Post author here. I like this idea. I plan to explore it and make a more generic solution. I'd love to have a point-and-click interface for annotating scenes.

    For example, I'd like to be able to click on pieces of coffee equipment in a photo of my coffee setup so I can add sticky note annotations when you hover over each item.

    For the bookshelves idea specifically, I would love to have a correction system in place. The problem isn't so much SAM as it is Grounding DINO, the model I'm using for object identification. I then pass each identified region to SAM and map the segmentation mask to the box.

    Grounding DINO detects a lot of book spines, but often misses 1-2. I am planning to try out YOLO-World (https://github.com/AILab-CVC/YOLO-World), which, in my limited testing, performs better for this task.

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    www.saashub.com | 27 Apr 2024
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Stats

Basic YOLO-World repo stats
3
3,321
8.9
8 days ago

AILab-CVC/YOLO-World is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.

The primary programming language of YOLO-World is Jupyter Notebook.


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