Easy, just use an ImageNet classifier architecture with one category for each decade. No need to bother with object detection at all. You could fine-tune or tr

Easy, just use an ImageNet classifier architecture with one category for each decade. No need to bother with object detection at all. You could fine-tune or train from scratch. Image classification is probably the single most-researched task with the widest variety of models available. You could select an architecture based on ease of implementation, efficiency, absolute accuracy, or any combination. Papers With Code has great lists of state-of-the-art models. Take your pick: https://paperswithcode.com/sota/image-classification-on-imagenet https://paperswithcode.com/sota/image-classification-on-imag...