What datasets are commonly used in computer vision research?

The question is about computer vision

Answer

Several datasets are commonly used in computer vision research to train and evaluate models. ImageNet is a large-scale dataset with millions of labeled images across thousands of categories, widely used for image classification tasks. COCO (Common Objects in Context) provides annotated images for object detection, segmentation, and captioning. MNIST is a popular dataset for handwritten digit recognition. KITTI is used for autonomous driving research, offering data for tasks like object detection and tracking. These datasets provide a benchmark for comparing model performance and advancing the field of computer vision.

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My name is Marcelo O. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc.. I hold a degree in Engineer's degree, Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: Powering Project Success with Data Engineering, Automating Sports Data Collection with AI, Object detection, segmentation and tracking for warehouse management, Hand gesture recognition in sign language, Pose detection for a real-life swimming pool game. I am based in Montevideo, Uruguay. I've successfully completed 5 projects while developing at Softaims.

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