ASM-FT 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 generation tasks, demonstrating impressive region comprehension 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.
The finetuning phase employs AS-Core, RefCOCOg, VG, LLaVA-150K, COCO Caption, TextCaps, VQAv2, and GQA.
Evaluation dataset
A collection of 4 benchmarks, including 2 image captioning benchmarks, and 2 region captioning benchmarks.
- Downloads last month
- 9