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  license: apache-2.0
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  datasets:
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  - prithivMLmods/Human-vs-NonHuman
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  # **Human-vs-NonHuman-Detection**
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  > **Human-vs-NonHuman-Detection** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images as either human or non-human using the **SiglipForImageClassification** architecture.
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  - **Surveillance & Security:** Enhancing monitoring systems to detect human presence.
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  - **Autonomous Systems:** Helping robots and AI systems identify humans.
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  - **Image Filtering:** Automatically categorizing human vs. non-human images.
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- - **Smart Access Control:** Identifying human presence for secure authentication.
 
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  license: apache-2.0
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  datasets:
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  - prithivMLmods/Human-vs-NonHuman
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+ language:
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+ - en
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+ base_model:
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+ - google/siglip2-base-patch16-224
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+ pipeline_tag: image-classification
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+ library_name: transformers
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+ tags:
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+ - Human
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+ - Non-Human
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+ - Detection
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+ - SigLIP2
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+ - Vision-Encoder
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  ---
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+
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+ ![12.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/eIE56Qk5iKuDoZ3rgkKx2.png)
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+
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  # **Human-vs-NonHuman-Detection**
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  > **Human-vs-NonHuman-Detection** is an image classification vision-language encoder model fine-tuned from **google/siglip2-base-patch16-224** for a single-label classification task. It is designed to classify images as either human or non-human using the **SiglipForImageClassification** architecture.
 
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  - **Surveillance & Security:** Enhancing monitoring systems to detect human presence.
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  - **Autonomous Systems:** Helping robots and AI systems identify humans.
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  - **Image Filtering:** Automatically categorizing human vs. non-human images.
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+ - **Smart Access Control:** Identifying human presence for secure authentication.