README.md

---
license: apache-2.0
pipeline_tag: image-classification
tags:
- ram-plus
- recognize-tags
- robotics
- IB-Robot
- ascend
- edge-deployment
base_model:
- xinyu1205/recognize-anything-plus-model
---

# Model Card for RAM++ Swin-Large-14M (IB-Robot)

Recognize Anything Model Plus (RAM++) with Swin-Large backbone, packaged for the [IB-Robot](https://gitcode.com/openeuler/IB_Robot) framework. Recognizes semantic tags from images for robotic scene understanding.

## Repository Structure

- `inference_manifest.json` — deployment routing (schema v3)
- `assets/` — adapter config, torch weights (`.pth`), tag vocabulary (4585 classes), BERT tokenizer
- `artifacts/ascend_310b/` — Ascend 310B1 OM (fp16)
- `artifacts/ascend_310p/` — Ascend 310P1 OM

## Deployment Backends

| Target | Backend | Runtime | Hardware |
|--------|---------|---------|----------|
| `ascend_310b` | ascend | ACL | Ascend 310B1 |
| `ascend_310p` | ascend | ACL | Ascend 310P1 |
| `torch_cpu` | torch | PyTorch | CPU |
| `torch_cuda` | torch | PyTorch | NVIDIA GPU |

**Input:** `observation.image` float32 [1,3,384,384] NCHW
**Output:** `tag_logits` float32 [1,4585] (4585-class multi-label classification)

## Source Model

This bundle's torch weights (`ram_plus_swin_large_14m.pth`) are downloaded from the upstream RAM++ model:

- **Model weights (HuggingFace):** [xinyu1205/recognize-anything-plus-model](https://huggingface.co/xinyu1205/recognize-anything-plus-model)
- **Source code (GitHub):** [github.com/xinyu1205/recognize-anything](https://github.com/xinyu1205/recognize-anything)

The Ascend OM artifacts were converted from these torch weights. See `scripts/download_perception_models.sh` for the download procedure.

## Citation

    @inproceedings{ram_plus,
      title     = {Recognize Anything: A Strong Image Tagging Model},
      author    = {Zhang, Xinyu and Huang, Ziyu and Shen, Jun and Li, Zongtao and Zhao, Wen-Jun and Wang, Sheng and Sun, Yifan},
      booktitle = {arXiv preprint arXiv:2306.03514},
      year      = {2023}
    }
    @software{ib_robot,
      title   = {IB-Robot: Intelligence Boom Robot},
      url     = {https://gitcode.com/openeuler/IB_Robot},
      license = {Apache-2.0}
    }