Some years ago, the primary use cases of image classification could be mainly found in security applications. But today, applications of image classification are becoming important across a wide range of industries, use cases are popular in health care, industrial manufacturing, smart cities, insurance, and even space exploration. One reason for the surge of applications is the **ever-growing amount of visual data available** and the rapid advances in advanced computing technology. Image classification is a method of extracting value from this data. Used as a strategic asset, visual data has equity as the cost of storing and managing it is exceeded by the value realized through applications throughout the business. 1. Automated inspection and quality control 2. Object recognition in driverless cars 3. Detection of cancer cells in pathology slides 4. Face recognition in security 5. Traffic monitoring and congestion detection 6. Retail customer segmentation 7. Land use mapping