Lightweight target detection for the field flat jujube based on improved YOLOv5

•The flat jujube is a new type of jujube which has four characteristics as flat circle, small target, near-color background and cluster growth.•The method screens out the multi-scale structure of detection network.•Using dual coordinate attention mechanism to improve the ability of feature extraction.•Using bi-directional feature pyramid network to achieve the multi-scale feature fusion.•Depth-separable convolution and ghost model are introduced to achieve the lightweight operation.