---
license: mit
tags:
  - image-classification
  - resnet50
  - human-nature-interaction
  - urban-greenspace
library_name: pytorch
---

# HNIVision ResNet-50 (7-class scene classifier)

Fine-tuned ResNet-50 used by the [HNIVision](https://github.com/LabMingzeChen/HNIVision)
toolkit to classify social-media images into 7 Human-Nature Interaction
scene categories.

## Classes

1. Garden Vegetation
2. Waterscape and Built Settings
3. Pure Waterscape
4. Built Environment
5. Natural Landscape
6. Mixed Urban Greenspace
7. Park Activities

(Edit this list on the Hub web UI if your training classes differ.)

## Usage

\`\`\`python
from hnivision.methods import Classification
clf = Classification()
result = clf.extract("image.jpg")
\`\`\`

Weights auto-download from this repo on first use if not in local cache.

## Citation

Chen, M. (2026). HNIVision: Toolkit and benchmark for human-nature
interaction extraction from social-media imagery.