The invention discloses a parking space detection method based on depth learning, comprising the following steps: obtaining a target image of the parking space; setting a training set and a test set of the parking space target image; a tag being arranged for that target region of interest, and the coordinate and categories of the target region being marked; initializing neural network parameters;putting the training set and tag information into the neural network to participate in training; quantitative evaluation of training results. A parking space detection system based on depth learning comprises an image acquisition module, an initial setting module and a training control module. The invention effectively solves the shortcomings of traditional image method that the parking space environment is highly demanded, and has strong adaptability, and the characteristic points of the parking space can be perfectly detected and positioned even in extreme environment, which is convenient for automatic and accurate parking alignment of vehicles, has the advantages of good robustness, and improves the user experience at the same time. The method and system can be widely used in the fieldof parking space recognition.