Spaces:
Sleeping
Sleeping
File size: 1,335 Bytes
123cd28 b547fbf 123cd28 b547fbf 123cd28 b547fbf |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 |
---
title: Insect Model Zoo
emoji: ππ¬
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.36.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: Comparing InsectSAM, Yolov8, Detectron2
---
## https://insectsam.live
## What is InsectSAM?
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.

## How does it work?
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.

## Technologies Used
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.
 |