ASM-Pretrain / README.md
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license: apache-2.0

ASM-Pretrain Model Card

Model details

Model type: ASM is a unified vision-language foundation model for open-world panoptic visual recognition and understanding. Aligning with LLMs, it supports versatile image-text retrieval and generation tasks, demonstrating impressive zero-shot capability.

Model date: ASM was trained in July 2023.

Paper or resources for more information: https://github.com/OpenGVLab/all-seeing

License

ASM is open-sourced under the Apache License 2.0.

Where to send questions or comments about the model: https://github.com/OpenGVLab/all-seeing/issues

Intended use

Primary intended uses: The primary use of ASM is research on large multimodal models and chatbots.

Primary intended users: The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.

Training dataset

The pretrain phase employs AS-1B and Laion-COCO.

Evaluation dataset

A collection of 6 benchmarks, including 2 image captioning benchmarks, 2 region captioning benchmarks, and 2 region recognition benchmarks.