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You say that it is possible to start with less than 5000 photos. What is the least amount you need to train a model, and how would you normally approach it with regards to training and retraining?
Great article… one thing to add that Cognite does well is to combine data captured by robot with computer vision to create exceptions based surveillance. This is the future for O&G space, the data captured by the robot is good to add to the digital twin but much more powerful if exceptions are identified early and repaired. Lastly, the payloads for these robots keep advancing technologically so the use cases keep expanding. Thank you Alex! Can’t wait to show you our progress on the recent computer vision model developments!About identifying exceptions early, do you have any examples now of scenarios where a robot used for routine inspections could have made a huge impact?
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