At Globose Technology Solution Private Limited, we’re dedicated to providing AI enthusiasts with top-notch resources. The LFW People Dataset is just one example of how we support innovation in AI and face recognition technology.

The dataset contains 3D point cloud data of a synthetic plant with 10 sequences. Each sequence contains 0-19 days data at every growth stage of the specific sequence.

Join us in using the Animal Faces Dataset to advance AI and machine learning. Let’s embrace technology’s future and make a positive impact on the world with this incredible resource.

At Globose Technology Solutions Private Limited, we recognize the significance of the CIFAR-100 Python dataset for image classification. With its diverse range of 100 object classes, we’re committed to using and advancing machine learning and computer vision applications to lead in artificial intelligence innovation.

At our AI data collection company, we’re dedicated to providing valuable resources for AI researchers and developers.

OCR (Optical Character Recognition) for race numbers detection is a specialized application of OCR technology aimed at automatically recognizing and extracting race numbers from images or video frames in the context of sporting events like marathons, road races, triathlons, and other competitions where participants wear race numbers.

Our Lung and Colon Cancer Histopathological Images dataset is available for free download. It includes a variety of high-quality images, each labeled and annotated to make them easy to use.

I planned to create a fish image recognizer that mostly get sold in bengali fish markets. So, I downloaded the data using duckdukgo search and prepared the data for 20 different types of fishes.

To access the “Pet’s Facial Expression Image Dataset,” visit our download page. Our goal is to provide resources that support your projects and research.

A Traffic Sign Dataset for classification is a collection of images or data representing various types of traffic signs, with the primary goal of training machine learning models to classify these signs correctly. This dataset is essential for developing and evaluating computer vision systems used in autonomous vehicles, driver assistance systems, and traffic management applications.