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README.md

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+# 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](https://huggingface.co/datasets/Weiyun1025/AS-100M/tree/main) and [Laion-COCO](https://huggingface.co/datasets/laion/laion-coco).
+
+## Evaluation dataset
+A collection of 6 benchmarks, including 2 image captioning benchmarks, 2 region captioning benchmarks, and 2 region recognition benchmarks