Over the past decade, entomologists have observed a worldwide decline in the population of pollinating insects. Even though there is a number of hypotheses about of potential underlying causes for this decline, there are concerns that insecticides are at least partially responsible. The design of insecticides requires accurate risk assessment procedures to avoid damage to beneficial insects and like pollinators such as the buff-tailed bumblebee (Bombus terrestris). Therefore, current guideline drafts by the EFSA include homing fight studies to test insect behavioral performance. Since these studies (eg, homing study) inspect the individual's change in behavior, insect re-ID (reidentification) is crucial. Current bumblebee re-ID techniques are limited to placing markers on individual subjects, which can be analog or digital (RFID). These steps are very time consuming, intrusive and are prone to mechanical failure. To find a solution to remedy these shortcomings, a visual approach is proposed. Therefore we propose the following bumblebee re-ID dataset in order to build such systems.