Coffee Around the World Collection: High-Resolution Images Showcasing the Diversity of Global Coffee Delights

The Coffee Around The World dataset is a comprehensive collection of diverse coffee images from various regions worldwide. This high-quality dataset consists of approximately 2,500 high-resolution images. Each image in the dataset has been carefully annotated with manually created, descriptive tags, providing valuable context and details about the coffee depicted.

With a focus on coffee, the dataset includes informative tags that describe different aspects of the images. These tags encompass details about the coffee's origin, brewing methods, serving styles, and notable characteristics. Additionally, the dataset provides partially comprehensive information about coffee varieties, flavor profiles, and other relevant features.

This dataset has been curated from commercially and legally clean sources, adhering to all relevant copyright and privacy laws. As a result, this dataset is suitable for a wide range of commercial applications, enabling businesses and researchers to utilize the data confidently without any legal restrictions.

The Coffee Around The World dataset is a robust resource that holds immense value for various applications. Researchers and businesses can leverage this dataset to advance their work in areas such as coffee research, flavor analysis, barista training, café management, and consumer preference studies. Furthermore, the dataset promotes ethical and responsible data usage, respecting legal considerations and privacy rights.

By utilizing the Coffee Around The World dataset, researchers and businesses can explore the rich and diverse world of coffee, driving innovation and advancements while upholding legal and ethical standards.

Our Coffee Around the World dataset empowers machine learning in coffee image recognition, quality control, barista assistance, and personalized recommendations, enhancing coffee research and inventory management.

Environment: Commercial stock

Angle: Random

Augmentation: None

AR: Various

ACCURACY

This dataset contains a tolerance margin of 5% to 10% of associated images which might not reflect 100% accuracy in the metadata or image. As an example of the error margin: a cake might appear due to its association with coffee. The maximum resolution of each image might vary. All metadata in this dataset had been created manually and might contain a low margin of error.