[ECCV 2024] Tokenize Anything via Prompting
Segment and recognize images using a model that can be prompted to identify different areas and captions.
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tokenize-anything has 601 stars on GitHub. It has been forked 27 times. tokenize-anything is written mainly in Jupyter Notebook. It has been in active development since 2023. tokenize-anything is available under the Apache-2.0 license. Its main topics are foundation-models, multimodal, promptable, representation-learning.
[ECCV 2024] Tokenize Anything via Prompting
tokenize-anything is an open-source project. It is released under the Apache-2.0 license.
Yes. tokenize-anything is free and open source — you can use, modify and self-host it.
tokenize-anything is available under the Apache-2.0 license.
tokenize-anything is written mainly in Jupyter Notebook.
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