Tomato subset of the CCMT crop pest and disease dataset (Mensah et al., 2023): field photographs of tomato leaves from farms in Ghana, labelled per image with one of 5 classes: healthy, leaf blight, leaf curl, septoria leaf spot and verticulium wilt (the source's spelling of verticillium wilt). 5,325 raw 400x400 JPEG images out of 5,805 in the source's Raw Data/Tomato folders; 25 corrupt JPEGs that do not decode and 454 byte-identical duplicate copies were excluded, and one duplicate pair filed under two classes was left out entirely. Per class: septoria leaf spot 2,294, leaf blight 1,285, verticulium wilt 772, leaf curl 511, healthy 463. The augmented set is not included. Cashew, cassava and maize can follow in the same project. License: CC BY 4.0. Source: https://data.mendeley.com/datasets/bwh3zbpkpv/1. Please cite: Mensah P.K. et al., CCMT: Dataset for crop pest and disease detection, Data in Brief 49 (2023) 109306.