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Modern society has made tremendous progress towards automation to increase the quality of life and reduce the margin of human error. Intelligent transportation systems are a critical aspect of this evolution. The core technology of these systems is the automatic identification of vehicles' license plates to monitor safety and control violations of traffic rules and other crimes. The research on license plate detection and recognition has gone a long way, from traditional computer vision techniques to features (color, shape, text, etc.) based classification and finally to modern deep learning structures. The deep networks comprising hundreds of layers require enormous amounts of training data. The training dataset should contain plates from different countries; otherwise, the system will be specific to only certain types of plates (from a country or province). There are several datasets collected by researchers containing large numbers of license plates from different countries. This paper provides a detailed survey of such datasets available in the public domain. Sample images from each dataset are shown, and details such as the dataset size, size of images, download link, and country of origin are provided. This survey will be a helpful reference for new researchers in the field for the tasks of training new networks and benchmarking their performances.

Avulsion fractures of the peroneus longus tendon are seldom seen and potentially can go undiagnosed during an emergency visit. If not managed appropriately, it can lead to chronic pain and suffering. This case report presents a 55-year-old postman who was seen in the clinic complaining of persistent pain over the instep of his right foot with no history of trauma. His pain was localized to the first metatarsophalangeal joint with some radiation to the heel. Magnetic resonance imaging revealed an isolated avulsion fracture of the first metatarsal, which was initially missed on X-ray. In this case, the patient was successfully treated with a mixture of steroid and local anesthetic injections. Following our intervention, the Manchester Oxford Foot Questionnaire was reduced from 33 to 0. The goal of this article is to raise awareness of this rare finding for doctors who may face this in accident and emergency (A&E), Orthopedic clinics or at a general practice (GP) practice.