Globose Technology Solutions Private Limited acknowledges the significant role of the CK+ dataset in advancing facial expression recognition.

As an AI data collection company, we understand the importance of top-notch datasets in driving advancements in AI technologies.

In short, the WaRP Waste Recycling Plant Dataset is a valuable tool for using AI and machine learning in recycling and more.

In the fast-paced world of AI, NumtaDB is a real gem for NLP fans and OCR developers. With loads of handwritten digits, it’s a solid starting point for AI projects.

The dataset is publicly available and can be accessed through specified directories, with proper attribution appreciated when used for research or application development.

The data in the Vietnam Road Signs Dataset is licensed under Creative Commons (CC0), allowing users the freedom to use, copy, modify, and distribute the data without needing individual permissions.

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The Structural Defects Network (SDNET) is a dataset specifically designed for research in the field of computer vision and machine learning, particularly for tasks related to the detection and classification of structural defects in materials, such as concrete. The SDNET 2018 dataset, as the name suggests, was released in 2018 and has been widely used in academic and industrial research for the development and evaluation of algorithms and models for defect detection and analysis.