Welcome to the Fire-Detection-Siglip2 GitHub repository! This repository houses an image classification vision-language encoder model fine-tuned specifically for a single-label classification task to detect fire, smoke, and normal conditions. The model is based on the SiglipForImageClassification architecture and is a modification of the google/siglip2-base-patch16-224 model.
The Fire-Detection-Siglip2 model is designed to accurately identify and classify images into three categories: fire, smoke, and normal conditions. With the power of the SiglipForImageClassification architecture, this model offers high performance and reliability in detecting potentially dangerous situations.
- Repository Name: Fire-Detection-Siglip2
- Short Description: Fire-Detection-Siglip2 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 detect fire, smoke, or normal conditions using the SiglipForImageClassification architecture.
- Topics: fire-detection, google, huggingface, huggingface-transformers, image-classification, llama, normal, siglip, siglip2, smoke, vit
To access the model and start detecting fire, smoke, and normal conditions in images, please download the model from the following link:
When you visit the provided link, you will find the necessary files to download and execute the Fire-Detection-Siglip2 model.
Contributions to the Fire-Detection-Siglip2 repository are welcome. If you have ideas for improvements, bug fixes, or feature additions, feel free to submit a pull request. Together, we can enhance the capabilities of this model and make a positive impact in fire detection technology.
In conclusion, Fire-Detection-Siglip2 is a powerful image classification model tailored for fire detection purposes. With its ability to accurately classify images into fire, smoke, and normal categories, it serves as a valuable tool in enhancing safety and security measures. Download the model, explore its capabilities, and contribute to its continuous improvement.
Remember, safety comes first – and with Fire-Detection-Siglip2, you have an advanced tool to help protect lives and property. Thank you for visiting this repository and for your interest in fire detection technology. Let's work together towards a safer future. 🌟🔥
Don't forget to check out the "Releases" section if the provided download link is not accessible or if you are looking for additional information.