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.