Building a Computer Vision Model: Approaches and datasets

Computer vision algorithms are no magic. They need data to work, and they can only be as good as the data you feed in. These are different sources to collect the right data, depending on the task:
One of the most voluminous and well known dataset is ImageNet, a readily-available dataset of 14 million images manually annotated using WordNet concepts. Within the global dataset, 1 million images contain bounding box annotations.

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