I wanted to start a broader workflow comparison thread around Computer Vision.
A useful angle is privacy considerations, but it also connects with reliability. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Computer Vision is genuinely useful and where it still needs improvement.
Photo by on
A useful angle is privacy considerations, but it also connects with reliability. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Computer Vision is genuinely useful and where it still needs improvement.
Photo by on
