Image recognition is an active interdisciplinary field of study under the umbrella of computer vision. Image or object recognition, as the name suggests, is the task of identifying objects in an image or video sequence. Traditionally, this field has leveraged advancements in mathematical and computer-aided modeling, and the design of objects. Several hand-annotated datasets have been developed over the years to test and evaluate image recognition systems. Traditional techniques, as we now call them, were dominating the scene and iteratively improving upon the task until recently. In 2012, deep learning arrived at the ImageNet competition and opened the floodgates for rapid improvements and advancements in computer vision and deep learning techniques.
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