Image classification is difficult not so much because of the algorithm, but because of I the need of a dedicated training set. Many if not most academic papers use packages such as the CIFAR image set found at www.cs.toronto.edu/~kriz/ cifar.html – it takes one look at its contents (as seen in the image on the right), to appreciate that the number of detection categories in this data set is highly limited.
Face huggers…
If we’d written this six months ago, the next step would involve parametrising a specific model. Fortunately, advances in AI tech have led to the rise of the Hugging Face company. One of its most interesting products is shown below. For reasons of posterity, we will reuse the virtual environment created before. The next step involves downloading the actual library: (aitranslator) ~/aitranslatespace$ pip install transformers
