MMDetection is a Python toolbox used for object detection and instance segmentation. Basically, it is an open-source library containing several advanced, ML-powered object detection and instance segmentation models.
A significant reason behind the hype for this toolbox is that all models are pre-configured, enabling people to develop projects with little coding.
The project has over 22,000 stars on GitHub.
MMDetection is part of the ML-Assisted Image Classification meta trend.
Image classification is the process of using ML algorithms to understand what images represent.
The global market for this technology is forecasted to grow around 4x by 2028.
And VC funding for startups offering these services grew 5x last year (Pitchbook).
SoftRide, OneView and Neurotype are examples of trending object detection startups.