摘要：Conventional methods to study insect taxonomy especially forensic and medical dipterous fies are often tedious, time-consuming, labor-intensive, and expensive. an automated recognition system with image processing and computer vision provides an excellent solution to assist the process of insect identifcation . However, to the best of our knowledge, an image dataset that describes these dipterous fies is not available . Therefore, this paper introduces a new image dataset that is suitable for training and evaluation of a recognition system involved in identifying the forensic and medical importance of dipterous fies . The dataset consists of a total of 2876 images, in the input dimension (224 × 224 pixels) or as an embedded image model (96 ×96 pixels) for microcontrollers . There are three families (Calliphoridae, Sarcophagidae, Rhiniidae) and fve genera (Chrysomya, Lucilia, Sarcophaga, Rhiniinae, Stomorhina), and each class of genus contained fve diferent variants (same species) of fy to cover the variation of a species.
