AInsectID - species identification software

AInsectID Version 1.1 - a free to use species identification, image analysis and colour mapping software

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To access the latest version of AInsectID, click here --> https://doi.org/10.7488/ds/7801 / which includes codes, the user manual, and the GUI

Software Citation

Sadia, Haleema; Alam, Parvez. (2024). AInsectID Version 1.1 - a free to use species identification, image analysis and colour mapping software, [software]. The University of Edinburgh. School of Engineering. https://doi.org/10.7488/ds/7801.

Other Related Citations

Sadia, Haleema; Alam, Parvez. (2024).  Enhanced K-means color clustering based on SLIC superpixels merging incorporated within the entomology software: AInsectID. IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024 (IEEE EAIS 2024), IEEE Xplore, 10.1109/EAIS58494.2024.10569105

Description

AInsectID Version 1.1 is a heavily updated and improved version of AInsectID. It is a GUI based software that with this new (v1.1) release, can be used to identify (currently 150) insect species. The software can also be used for color processing and for the analysis of insect body parts such as wings, and additionally includes a simple image analysis giving users the flexibility to both automatically and manually quantify the geometrical features within the image. In a world bustling with diverse insect species, accurate identification is important. This software uses AI to revolutionize the way we identify insects with up to 99.64% accuracy (determined through validation testing). AInsectID represents a significant leap forward in insect species identification. Traditional methods require any of: specialized taxonomical knowledge, time-consuming morphological and geographical characterization methods, genetic barcoding expertise, or even in some cases, destructive sampling. With AInsectID Version 1.1, machine learning and deep learning algorithms are used to identify and classify insect species based on their morphological features, This process is fast, highly accurate, and is now freely accessible to a broader audience. This is a software that we will continue to update over time, this is our second release, Version 1.1. The dataset contains free to use software developed at The University of Edinburgh entitled AInsectID Version 1.1. The software comes with the following functionality: (1) Insect species identification (2) image analysis and morphometric analysis tools (3) colour mapping and colour manipulation tools. This is the second release of this software. A user manual is provided with the software.