Why 2022 was the most exciting year in computer vision history (so far)

In 2022, computer vision experienced significant advancements across various fronts, including the rise of transformer models, data-centric approaches, and multi-modal AI applications, alongside the surge in AI-generated art. The year witnessed noteworthy contributions from major tech companies like Alphabet, Amazon, Microsoft, Meta, Adobe, and Nvidia, each making strides in areas ranging from self-supervised learning to artistic content creation using neural networks. The application of computer vision expanded into diverse industries such as sports, climate conservation, autonomous vehicles, and healthcare, with innovations like motion tracking in sports, waste monitoring systems, and no-contact blood pressure detection. The burgeoning interest in data quality and synthetic data generation reflects a shift towards data-model co-design, supported by startups developing new tools for annotation and model evaluation. The year also saw the release of prominent research papers and the growth of computer vision tooling startups, highlighting an accelerating pace of development and adoption in the field. The FiftyOne toolset by Voxel51 stands out as a significant development, aiding data science teams in enhancing their computer vision models through curated datasets and model evaluation.

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