A Python image recognition application can be built using Twilio MMS, Flask, and ImageAI, allowing it to receive inbound images with object detection capabilities. The application uses a RetinaNet model for object detection, which provides high accuracy but takes longer than other models. The application receives inbound messages via Twilio MMS, checks if they are images, and responds with the detected objects and their confidence percentages. If an image is received, it is downloaded, processed by the ImageAI model, and returned as a modified image with detected objects. The application also includes a route to deliver the image, which retrieves and sends back the new image containing the detected objects. This application can be used for various use cases such as autonomous driving, facial detection, and digital watermarking.