AI - Computer Vision

see also:

• artificial intelligence
• AI machine learning
• AI deep learning
• Python language
• anaconda
• http://www.pytorch.org
• http://colab.research.google.com - to play with Python code online in a Jupyter notebook and combine text and code cells
• https://www.learnpytorch.io/
  • https://github.com/mrdbourke/pytorch-deep-learning
  • Youtube PyTorch Deep Learning course by freeCodeCamp.org
• Youtube: health data pre-processing in Python

• computer vision is used for:
  • object detection (eg. is there a car in the image if so place a box around it)
  • object classification (eg. what type of object is in the image)
  • image segregation (eg. isolate an object within an image - such as for image semantic masking)
    • smartphones use in-camera panoptic segmentation via transformers to blur backgrounds, remove unwanted objects, enhance faces, etc
  • combine camera views into a 3D vector space model and ascertain motion (eg. Tesla driving uses 8 cameras)
• workflow is similar to AI deep learning but computer vision usually uses either CNN or transformer neural networks

SEE:

• AI - Computer Vision - linear/non-linear neural networks
• AI - Computer Vision - convolutional neural networks
• image training datasets:
  • 50Gb 112,120 frontal-view CXRs with 14 disease labels https://huggingface.co/datasets/alkzar90/NIH-Chest-X-ray-dataset
  • 5824 CXRs classified as normal or pneumonia https://huggingface.co/datasets/keremberke/chest-xray-classification
  • 13977 CXRs classified as normal or pneumonia https://huggingface.co/datasets/trpakov/chest-xray-classification
  • see also TorchVision toy datasets