ImageNet is a large visual database designed for use in visual object recognition research. Key facts:

ImageNet played a pivotal role in the rise of deep learning due to its scale and image diversity. The annual ImageNet competition motivated progress on models like convolutional neural networks that could achieve human-level accuracy.

However, ImageNet has faced criticism for perpetuating offensive stereotypes through some category labels and lack of consent. This highlights the need for caution in data curation.

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