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In this fast-paced era of artificial intelligence (AI), data are the foundation for setting up powered machine learning models. Whether you are on a journey over computer vision seas, a highly qualifiedFace Detection Datasetguarantees exactitude and high effect. Look at this dataset, which can make your AI projects more amazing. What is a Face Detection Dataset? A Face Detection Dataset is a set of really good images that a photographer has crafted with a high degree of detail, annotated with boxes that focus on the facial areas. This dataset performs the training of AI systems to recognize a broad variety of situations where human faces are involved, which makes it a critical element. 16.7k high-quality images: Perfectly curated for face detection tasks. Two annotation formats: Label format: Original pixel-based coordinates of bounding boxes. YOLO format: These are coordinates that are not scaled and are used for YOLO (You Only Look Once) object detection models. The dataset is created by using the OIDv4 toolkit which retrieves data from Google Open Images, therefore variety and relevance are assured.
