Published case study
Mass Transit: Detecting masks and belongings of public commuters
Published story
Our client wanted to use AI to detect transit commuters from CC Camera footage (including fisheye lens) - their gender, posture, what they are carrying, whether they are wearing face masks, etc.
Year: 2018-2021
Tools used: Supervisely, CVAT, Darwin by v7labs
Challenges we faced:
The project had a very tight deadline with a large dataset with loads of different labels on each image. We had to train and onboard new workers at an unprecedented rate, keeping our promised quality in mind. The team sprinted day and night and delivered 99%+ accuracy in a quick three week turnaround.
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