An Annotation Robot
This is my working note, will be updated dynamically…
explanation: focus on the non-shadow part, release human from the tedious labelling work.
We need a micro-fixed-task model (non-overlapped model, overlapped model…), not a big-generic model:
Learning during the human’s labeling, not afterword:
Finding the similarities to label, not limited to Euclid, cosin or dot’s, also entropic, and micro-model, which executed by a 200-lines-AI-os, this AI-os even can run most tensorflow, or PyTorch model: