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Autonomous vehicle development has seen higher volume and greater accuracy of sensory data being recorded from hardware sensors. Sensors have gone up in number. Additionally newer generation of sensors are recording higher resolution and more accurate measurements. In this piece we will explore how sensor fusion allows greater degree of automation in data labeling process that involves humans-in-the-loop.


Classification Threshold or Decision Threshold


Active Learning Data Pipeline

  1. In the first part inference is performed on new training data using Neural Network (NN) version N.
  2. Subject matter experts evaluate of results of inference performed in the step 1. Based on this evaluation edge cases are discovered by the team of subject matter experts (like radiologists in case of radiology AI).
  3. Humans annotate the edge cases using the labeling…


Annotate data & train your own segmentation model for detection of COVID-19 in chest CT. Note that GGOs/consolidations generated on TrainingData.io are only for research purposes, they are not meant for clinical diagnosis.

COVID-19 Infection visualized in the Chest CT of a patient.


Annotate data & train your own segmentation model for detection of COVID-19 in chest CT. Note that GGOs/consolidations generated on TrainingData.io are only for research purposes, they are not meant for clinical diagnosis.

COVID-19 Infection visualized in the Chest CT of a patient.


It is no secret that the amount of video data being generated by diagnostic and monitoring systems alone is very large. For machine learning teams, it is difficult to pre-process such large quantities of training data.

Semi Automatic Annotation of Video Data

There is an urgent need for diagnostic tools to identify COVID-19. In the initial stages of this outbreak all countries, including the US, have faced one major problem — lack of diagnostic tools and proper testing. To be able to build diagnostic tools, data scientists are scrambling to get their hands on whatever little data is available.

COVID-19 Training Data for machine learning


Why does labeling process have high error rate?

  1. Prepare specifications of the labeling task. Specifications of a labeling task are usually given in written format. This is…


  1. Incumbents like GE, Philips, Siemens, Nuance technologies, Teracon are building marketplaces to distribute AI algorithms from more than one vendor.
  2. AI startups are building deep learning algorithms to commercialize AI for radiology.
  3. GPU companies like NVIDIA are accelerating development of AI with free software development kits, that enables all other players…


Gaurav

Application of Data Science in Computer Vision

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