A cell image evaluation device comprising: an image evaluation unit adapted to evaluate a state of a cell included in a captured image obtained by capturing an inside of a container that contains the cell based on the captured image; and a deterioration determination unit adapted to determine whether or not the captured image is deteriorated by determining whether or not the captured image is blurred, characterized in that the deterioration determination unit comprises a blur discriminator that is generated by machine learning and is adapted to determine whether or not the captured image is blurred, and a region discriminator adapted to determine whether the captured image is an image obtained by capturing a cell region or an image obtained by capturing a culture medium region, in a case where the region discriminator determines that the captured image is the image obtained by capturing the cell region and the blur discriminator determines that the captured image is blurred, the deterioration determination unit is adapted to determine that the captured image is deteriorated, the image evaluation unit is adapted to change an evaluation method of the captured image according to a determination result of the deterioration determination unit , and the image evaluation unit is adapted to evaluate the captured image by a first evaluation method by using an image feature value of the captured image itself, which is relatively resistant to the deterioration in a case where it is determined that the captured image is deteriorated, and to evaluate the captured image by a second evaluation method by using a feature value indicating the state of the cells included in the captured image, which is relatively weak to the deterioration in a case where it is determined that the captured image is not deteriorated. an image evaluation unit adapted to evaluate a state of a cell included in a captured image obtained by capturing an inside of a container that contains the cell based on the captured image; and a deterioration determination unit adapted to determine whether or not the captured image is deteriorated by determining whether or not the captured image is blurred, characterized in that the deterioration determination unit comprises a blur discriminator that is generated by machine learning and is adapted to determine whether or not the captured image is blurred, and a region discriminator adapted to determine whether the captured image is an image obtained by capturing a cell region or an image obtained by capturing a culture medium region, in a case where the region discriminator determines that the captured image is the image obtained by capturing the cell region and the blur discriminator determines that the captured image is blurred, the deterioration determination unit is adapted to determine that the captured image is deteriorated, the image evaluation unit is adapted to change an evaluation method of the captured image according to a determination result of the deterioration determination unit , and the image evaluation unit is adapted to evaluate the captured image by a first evaluation method by using an image feature value of the captured image itself, which is relatively resistant to the deterioration in a case where it is determined that the captured image is deteriorated, and to evaluate the captured image by a second evaluation method by using a feature value indicating the state of the cells included in the captured image, which is relatively weak to the deterioration in a case where it is determined that the captured image is not deteriorated. <EOS>