A dataset containing information on age, gender, and ethnicity associated with facial data typically comes in CSV (Comma-Separated Values) format. This dataset is used in various applications, including demographic analysis, face recognition, and machine learning.

In conclusion, diabetes is becoming a growing concern for young people globally, not just older adults. Thanks to thorough data analysis by EVER Clinical, we now have valuable insights into the patterns, factors, and possible interventions for early-onset diabetes.

The “FruitNet” dataset serves as a valuable resource for training, testing, and validating fruit classification or recognition models.

OLID I is groundbreaking in agriculture by presenting the first multi-label classification challenge in this domain. It offers the largest range of plant stress categories found in any public dataset.

Wildfires are an important phenomenon on a global scale, as they are responsible for large amounts of economic and environmental damage.

The MS COCO (Microsoft Common Objects in Context) dataset is a large-scale object detection, segmentation, key-point detection, and captioning dataset.

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The dataset includes a CSV file (‘tree_nuts.csv’) that details the image labels and additional metadata.

An American Sign Language (ASL) dataset is a collection of visual data, such as images or videos, that captures hand gestures and signs used in American Sign Language. These datasets are essential for developing and training machine learning models for sign language recognition, interpretation, and translation.

There are several images in different poses or with different environments for each Minifigure in the dataset. You can use this dataset for the image classification tasks or try to create more interesting things.