Globose Technology Solutions Private Limited leads in Clean/Littered Road Classification, using advanced technologies to accurately categorize urban roads.

Explore the world of rice varieties through 15,000 high-quality images

Globose Technology Solutions Private Limited specializes in intelligent transportation systems, particularly Chinese Traffic Signs.

Flood area segmentation is a computer vision and image processing technique used to identify and delineate regions affected by flooding in satellite images, aerial photographs, or other types of remotely sensed imagery.

Globose Technology Solutions Private Limited is a leader in geospatial innovation, using the DeepGlobe Land Cover Classification Dataset.

At our company, we’re determined to explore what VQA can do. By mixing Computer Vision and Natural Language Processing, we can collect and understand data differently, which could change industries and improve AI.

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.