This thesis is concerned with the automation of human rights violation recognition in images. Solving this problem is extremely beneficial to human rights organisations and investigators, who are often interested in identifying and documenting potential violations of human rights within images. It will allow them to avoid the overwhelming task of analysing large volumes of images manually. However, visual recognition of human rights violations is challenging and previously unattempted. Through the use of computer vision, the notion of visual recognition of human rights violations is forged in this thesis, whilst this area is addressed by strongly considering the constraints related to the usability and flexibility of a real practice.