基于深度学习的花卉识别

模型参数量 [M]计算量 [G]GPU速度[FPS]CPU速度[FPS]Top1准确度[%]Top2准确度[%]Top3准确度[%]Top4准确度[%]Top5准确度[%]resnet1811.193.64557.30204.0598.8499.7099.8699.9399.96resnet3421.307.35347.39104.3598.6499.7499.8699.9399.96resnet5034.9410.31295.2468.1998.6799.6699.8699.9499.97resnet10153.9017.77171.8441.2798.6199.6499.8399.9099.94resnet15268.4123.46130.2131.2098.4499.5899.8699.9299.96vgg11128.9615.25462.2430.0092.8897.3598.6999.2699.48vgg13129.1522.67411.5522.2795.1898.2299.2199.5599.73vgg16134.4630.99340.3420.1495.3598.4899.2999.5099.60vgg19139.7739.33292.5116.7194.8998.2599.0199.3999.62mobilenet_v13.251.16942.09506.4297.4599.4499.7199.8399.90mobilenet_v24.030.91489.69386.2095.9998.9899.5299.7599.81inception_v16.023.20343.56203.4395.8098.7999.4499.7499.83inception_v27.853.34291.10165.4998.3099.5499.8099.8599.90inception_v321.877.65136.2571.8999.0599.8199.9299.9599.97squeezenet_v10.761.61758.27362.2297.4499.3699.6999.8199.86squeezenet_v20.761.61704.60360.7597.2799.2399.6799.8099.85squeezenet_v31.102.37658.07267.2898.2899.5499.7799.8599.89mnist_net214.4551.37189.8110.1389.4796.2098.1498.9199.28AlexNet17.692.35858.92211.7396.2098.7999.4999.6999.76LeNet78.450.941041.7576.1284.8693.7596.5597.9498.70TSL16116.9523.56381.6324.0995.6198.4099.1599.5399.69ZF_Net72.092.68351.8782.6896.5899.0399.4799.6899.80