Abstract: Image/video coding has been a remarkable research area for both academia and industry for many years. Testing datasets, especially high-quality image/video datasets, are desirable for the ...

Abstract: This paper introduces novel evaluation metrics for quantifying distortion in human image retouching and presents a COCO-based retouched image dataset to validate their effectiveness. The ...

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object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...

A large image dataset used to develop AI tools for detecting nudity contains a number of images of child sexual abuse material (CSAM), according to the Canadian Centre for Child Protection (C3P). The ...

Machine learning classification algorithms have emerged as promising tools to support the early detection of skin cancers. Existing algorithms typically assess malignancy of skin lesions based on a ...

This study introduces the first publicly available annotated intraoral image dataset for Artificial Intelligence (AI)-driven dental caries detection, addressing the lack of available datasets. It ...

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I recently was figuring out how to annotate a dataset that had 51,000 images (51,789 to be precise) for a deep learning project. Now, that dataset was needed to be fed to an AI model for training, so ...

Harvard University announced Thursday it’s releasing a high-quality dataset of nearly 1 million public-domain books that could be used by anyone to train large language models and other AI tools. The ...

High-quality data may be the key to high-quality AI. With studies finding that dataset curation, rather than size, is what really affects an AI model’s performance, it’s unsurprising that there’s a ...

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...