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HNIVision-ResNet50
Mingze/HNIVision-ResNet50
HNIVision-ResNet50 is a image classification model from Mingze. Use it when you need a label for an image. It is set up for pytorch. The card lists the license as mit.
Fine-tuned ResNet-50 used by the HNIVision toolkit to classify social-media images into 7 Human-Nature Interaction scene categories.
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Public
Updated May 29, 2026
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At a glance
- Task
- Image Classification
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- May 29, 2026
- Updated
- May 29, 2026
- SHA
- 15c02a58
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Model card
From the Hugging Face model README
HNIVision ResNet-50 (7-class scene classifier)
Fine-tuned ResNet-50 used by the HNIVision toolkit to classify social-media images into 7 Human-Nature Interaction scene categories.
Classes
- Garden Vegetation
- Waterscape and Built Settings
- Pure Waterscape
- Built Environment
- Natural Landscape
- Mixed Urban Greenspace
- 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.
- Task
- Image Classification
- Library
- pytorch
- License
- mit
- Created
- May 29, 2026
- Updated
- May 29, 2026