Join the community of businesses and professionals who have enhanced their images with Image Super Resolution.

A Drone Dataset, often referred to as a UAV (Unmanned Aerial Vehicle) Dataset, is a collection of data and imagery captured by drones or UAVs. These datasets are used for various applications, including remote sensing, environmental monitoring, agriculture, urban planning, and computer vision research.

Globose Technology Solutions excels in identifying vehicles with the Road Vehicle Images Dataset. Our smart technology helps improve traffic management and road safety

At our company, we’re dedicated to learning more about how people show their feelings on their faces. With our carefully chosen dataset, we want to help you explore the interesting world of emotions shown through facial expressions.

The Highway Traffic Videos Dataset is a valuable asset for anyone working with AI and traffic analysis. By choosing our dataset, you gain access to a wealth of information that can elevate your AI projects to new heights.

Using self-checkout videos along with object tracking is a big step forward in how shops work. In our AI data collection company, we’re dedicated to helping businesses use this technology to make their shops work better, make customers happier, and make more profit.

Image colorization is the process of adding color to grayscale or black-and-white images to make them appear as if they were originally captured or created in color. This technique is commonly used in various applications, such as restoring historical photographs, enhancing visual aesthetics, and improving the visual quality of images.

Globose Technology Solutions excels in bird species identification with the BIRDS 525 SPECIES dataset. Our advanced algorithms aid in studying birds, monitoring their diversity, and contributing to environmental conservation efforts.

Ecuadorian Facial Expressions (EFE) can add a special touch to your AI projects. Our AI data collection company is committed to giving you the resources and knowledge to use these expressions well.

The HAM10000 dataset is a publicly available dataset used in the field of dermatology and machine learning for research related to the classification of skin lesions, particularly for the detection of skin cancer. “HAM” stands for “Human Against Machine,” signifying the goal of improving automated dermatological diagnoses through machine learning.