---
title: cv_edible_wild_plants_classification
canonical_url: "https://www.modelscope.cn/models/cubeai/cv_edible_wild_plants_classification"
md_url: "https://www.modelscope.cn/models/cubeai/cv_edible_wild_plants_classification.md"
repository: cubeai/cv_edible_wild_plants_classification
chinese_name: "可食用野生植物识别(VIT)"
last_updated: 2024-03-06
license: "Apache License 2.0"
pipeline_tag: general-recognition
tasks:
  - general-recognition
model_type:
  - vit
architectures:
  - ViTForImageClassification
library_name:
  - pytorch
frameworks:
  - Pytorch
downloads: 73
stars: 1
---

# cv_edible_wild_plants_classification

> cv_edible_wild_plants_classification - cubeai 在 ModelScope 开源的模型。https://openi.pcl.ac.cn/cubeai-model-zoo/hfcvediblewildplantsclassification

cubeai/cv_edible_wild_plants_classification 是 ModelScope 魔搭社区上的general-recognition模型，采用 Apache License 2.0 许可。

- **Repository**: cubeai/cv_edible_wild_plants_classification
- **License**: Apache License 2.0
- **Tasks**: general-recognition
- **Downloads**: 73
- **Stars**: 1
- **Last updated**: 2024-03-06

Source: https://www.modelscope.cn/models/cubeai/cv_edible_wild_plants_classification

---

# 可食用野生植物识别(VIT)

可识别62类可食用野生植物。

## 使用

https://openi.pcl.ac.cn/cubeai-model-zoo/hf_cv_edible_wild_plants_classification

## 模型来源

https://hf-mirror.com/Bazaar/cv_edible_wild_plants_classification