Shrotriya, Shivam; Guthula, Venkanna Babu; Mondal, Indranil; and Habib, Bilal (2022). SpSeg User’s Guide, version 1.0. TR No. 2022/29. Wildlife Institute of India, Dehradun, India.

What is SpSeg?

‘SpSeg’ (short for ‘Species Segregator) is a Machine-learning tool for species-level segregation of camera-trap images originating from wildlife census and studies. SpSeg is currently trained specifically for the Central Indian landscape .

SpSeg is part of Microsoft’s MegaDetector ecosystem and works as a second-step to species level segregation of camera-trap images. The approach in MegaDetector pipeline is to first classify the images into Animal, Person, Vehicle and Blank, followed by a fine level classification of Animal images into useful taxonomic classes.

SpSeg model identifies an Indian fox within the bounding box.

Visit the main GitHub repo of SpSeg for detailed information, or download this User’s Guide.