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Update README.md

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- short_description: Comparing InsectSAM, Yolov8, Detectron2
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- ## https://insectsam.live
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- ## What is InsectSAM?
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- InsectSAM is an open-source machine learning model tailored for the DIOPSIS camera systems and ARISE algorithms, dedicated to Insect Biodiversity Detection and Monitoring in the Netherlands.
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- ![whatisinsectsam](https://insectsam.live/assets/images/undraw_docusaurus_mountain-e42b6f2eba6f6cca2d69178e66414779.png)
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- ## How does it work?
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- Based on Meta AI segment-anything, InsectSAM is fine-tuned to accurately segment insects from complex backgrounds. It boosts the precision and efficiency of biodiversity monitoring algorithms, especially in scenarios with diverse backgrounds that attract insects.
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- ![howdoesitwork](https://insectsam.live/assets/images/undraw_docusaurus_react-616141633fe960e3f853b86fef751af9.png)
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- ## Technologies Used
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- Python, PyTorch, Hugging Face Transformers, OpenCV, and more. InsectSAM is designed to be easily integrated into existing DIOPSIS and ARISE algorithms, providing a seamless experience for researchers and developers.
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- ![tech](https://insectsam.live/assets/images/undraw_docusaurus_stack-957770c8948b116dc310df4dbcf9bb34.png)
 
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  app_file: app.py
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  pinned: false
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  license: apache-2.0
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+ short_description: Comparing InsectSAM, Yolov8, Detectron2, GSL
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  ---
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+ ![RB-IBDM](https://camo.githubusercontent.com/600d1187c73e00c683ee1b2dec358e5583712826d8a84ec85b9fb0b9858d6127/68747470733a2f2f692e696d6775722e636f6d2f32627931696f672e6a70656720616c743d)