Image Source: Pexels
We have already gone through , Predict An Image Using InceptionV3 Pretrained Model, and one of the blogs. We don’t need to create a new architecture from scratch for our projects; instead, we can use existing Convolutional Neural Networks(CNN) popular architectures like LeNet-5, ResNet, VGG16, VGG19, InceptionV3, etc. models to check how it predicts.
Today, we will use Convolutional Neural Networks(CNN) MobileNetV3 architecture pre-trained model to predict “Peacock” and check how much accuracy shows. MobileNet architecture is specially designed and tuned for Mobile phone CPUs through a combination of hardware-aware network architecture search (NAS) complemented by the NetAdapt algorithm.
We will compare MobileNetV3 with ResNet50. VGG16, and VGG19 by Oxford Visual Geometry Group, and InceptionV3.
I am working on a few kinds of research on the Enterprise Resource Planning side and using Convolutional Neural Networks(CNN) Image Recognition and computer vision.
I have used Google Colab IDE for this example, and you can download it from the GitHub Repository.
Copy to Clipboard
Copy to Clipboard
Copy to Clipboard
Copy to Clipboard
Copy to Clipboard
array([[[[ 7., 3., 0.],
[ 20., 16., 15.],
[154., 154., 154.],
...,
[126., 188., 113.],
[ 60., 42., 54.],
[ 5., 247., 137.]],
[[ 5., 1., 0.],
[ 30., 22., 20.],
[ 6., 0., 0.],
...,
[161., 176., 47.],
[ 56., 44., 22.],
[ 11., 241., 143.]],
[[ 10., 6., 7.],
[ 68., 58., 57.],
[ 8., 0., 0.],
...,
[ 81., 184., 77.],
[ 60., 47., 56.],
[ 14., 165., 98.]],
...,
[[ 36., 126., 28.],
[ 69., 106., 39.],
[ 19., 71., 0.],
...,
[123., 98., 5.],
[158., 142., 7.],
[183., 146., 13.]],
[[ 0., 82., 0.],
[ 19., 96., 26.],
[ 1., 20., 0.],
...,
[141., 120., 0.],
[156., 117., 0.],
[149., 88., 8.]],
[[ 0., 34., 7.],
[ 0., 65., 0.],
[ 12., 36., 14.],
...,
[150., 151., 24.],
[131., 111., 24.],
[172., 147., 21.]]]], dtype=float32)
Copy to Clipboard
array([[1.00958438e-04, 3.89771012e-05, 2.96268045e-05, 4.66231977e-05,
2.43979608e-04, 6.75260162e-05, 1.62891331e-04, 1.52741733e-04,
1.18651180e-04, 1.25958890e-04, 1.01109516e-04, 1.99558563e-05,
7.53382628e-05, 4.96858775e-05, 2.69871292e-04, 2.26983888e-04,
5.06542965e-05, 1.77971000e-04, 1.77117457e-04, 4.05683277e-05,
1.31872293e-04, 7.34028145e-05, 2.33783911e-04, 7.91826751e-05,
3.71583359e-04, 1.00450678e-04, 7.34575806e-05, 1.27178617e-04,
9.41710314e-05, 3.20282561e-05, 1.75191934e-04, 8.07572724e-05,
1.03553859e-04, 1.04397994e-04, 1.53898160e-04, 6.99935772e-05,
8.25749812e-05, 4.46616068e-05, 4.46031627e-05, 4.46002523e-04,
8.37241460e-05, 2.42756578e-05, 2.82048568e-04, 1.54475449e-04,
5.33698621e-05, 5.25919240e-05, 1.42859222e-04, 9.07109003e-04,
1.68442362e-04, 1.43052122e-04, 8.18642729e-05, 1.91214713e-04,
7.34157002e-05, 1.40546108e-04, 5.42499874e-05, 2.16495377e-04,
5.17155677e-05, 3.51022645e-05, 5.57073436e-05, 2.32292223e-04,
5.03469309e-05, 1.14593400e-04, 4.10803295e-05, 6.91946916e-05,
9.69724206e-05, 2.74749298e-04, 7.02442048e-05, 9.26045614e-05,
8.19942870e-05, 5.19902133e-05, 6.96830757e-05, 2.87384883e-05,
2.90188782e-05, 5.32500817e-05, 5.28814635e-05, 3.33555799e-05,
9.43806081e-05, 8.96791025e-05, 1.40990742e-04, 2.50410318e-04,
1.59941046e-04, 1.84006582e-04, 2.72203062e-04, 9.11280076e-05,
8.39966297e-01, 4.14423084e-05, 3.05962050e-04, 4.86846875e-05,
1.53165776e-04, 1.31600798e-04, 3.79204284e-04, 1.47254832e-04,
2.70882068e-04, 1.53004003e-04, 5.13182255e-04, 3.81556398e-04,
8.71998491e-05, 3.35070683e-04, 7.72558924e-05, 1.10647270e-04,
7.29471212e-05, 2.03606032e-04, 1.39142707e-04, 1.13930866e-04,
5.20298665e-04, 6.83405597e-05, 8.47712654e-05, 1.66780606e-04,
4.07679705e-04, 4.97578527e-04, 2.89353105e-04, 1.18509473e-04,
4.46226513e-05, 1.35752241e-04, 1.19771794e-04, 9.65306317e-05,
4.15525836e-04, 5.94283374e-05, 3.22959895e-05, 1.80947143e-04,
8.20512359e-05, 3.23051718e-05, 6.08009213e-05, 1.36494273e-04,
1.02329563e-04, 5.21567235e-05, 1.13104536e-04, 3.31286079e-04,
6.67030166e-04, 1.63472432e-04, 1.43591897e-04, 1.15631032e-04,
1.86885009e-04, 5.76815510e-05, 4.07577056e-04, 8.96014753e-05,
5.47044503e-04, 8.28631601e-05, 1.99438233e-04, 1.12479567e-04,
3.34827608e-04, 2.71004043e-04, 1.88192760e-04, 2.37104978e-04,
6.95366325e-05, 1.49245883e-04, 1.96498528e-04, 3.48627254e-05,
4.62506250e-05, 1.93827334e-04, 2.64469360e-04, 2.57573178e-04,
1.04935614e-04, 5.42728085e-05, 1.15288589e-04, 1.77299968e-04,
6.66514752e-05, 1.82145246e-04, 1.08669745e-04, 6.89326844e-05,
4.89655067e-05, 3.44421424e-05, 2.78487860e-04, 9.44513813e-05,
8.24127637e-05, 3.54399119e-04, 8.65233160e-05, 3.27785274e-05,
1.61519391e-04, 7.70769839e-05, 1.95770714e-04, 1.27965628e-04,
1.31410430e-04, 2.24277301e-05, 7.70542028e-05, 6.43869062e-05,
1.06695305e-04, 1.97306159e-04, 1.92092586e-04, 4.69926308e-05,
3.91505564e-05, 1.68634098e-04, 6.70574154e-05, 4.97070614e-05,
5.33438106e-05, 7.65365621e-05, 1.07338281e-04, 1.11638103e-04,
8.83974426e-05, 1.22474550e-04, 1.03582504e-04, 1.51072265e-04,
1.76793110e-04, 1.05097461e-04, 9.09405717e-05, 9.69648390e-05,
1.45522325e-04, 1.31244480e-04, 1.20365505e-04, 1.79145805e-04,
6.17444384e-05, 1.83892553e-04, 4.51667365e-05, 2.01287112e-04,
4.31080189e-05, 1.43450088e-04, 6.20705687e-05, 1.33603506e-04,
5.36882319e-04, 1.21959027e-04, 9.90333938e-05, 3.73832590e-04,
8.35978426e-05, 7.84522854e-05, 9.76637602e-05, 1.19467782e-04,
6.80085286e-05, 8.92729295e-05, 5.83829133e-05, 1.58141600e-04,
4.76674250e-05, 2.00688693e-04, 1.01431797e-04, 1.48948282e-04,
2.84063281e-04, 1.36445844e-04, 8.76584309e-05, 6.16258476e-05,
2.07605062e-05, 1.46048696e-04, 2.52781407e-04, 1.06128020e-04,
1.43634359e-04, 2.16572385e-04, 5.06967735e-05, 9.78174648e-05,
1.07798784e-04, 1.54736277e-04, 1.23305348e-04, 1.07476655e-04,
2.44355761e-05, 6.25127286e-05, 9.26820430e-05, 1.07950313e-04,
8.72948658e-05, 8.54459140e-05, 1.17199088e-04, 3.60171362e-05,
1.89122395e-04, 1.12097805e-04, 2.19800044e-04, 8.49797725e-05,
2.64708302e-04, 4.50118459e-05, 2.42485519e-04, 5.28818127e-05,
2.36760607e-04, 8.74032412e-05, 1.33024630e-04, 1.44308913e-04,
2.61303212e-04, 8.11661812e-05, 5.65829359e-05, 1.11659923e-04,
5.52576457e-05, 1.52273264e-04, 1.25687220e-04, 3.38644255e-04,
1.65736972e-04, 1.40449643e-04, 9.36540746e-05, 1.20858967e-04,
3.47339665e-04, 1.65547739e-04, 1.04201354e-04, 6.84999686e-05,
1.11542213e-04, 1.01426187e-04, 8.78437058e-05, 1.88153281e-04,
9.67889282e-05, 4.35532740e-04, 2.25428070e-04, 1.59723830e-04,
1.47908300e-04, 8.99726350e-04, 8.75379628e-05, 1.17189578e-04,
1.16065552e-04, 1.29305132e-04, 7.85626471e-05, 1.15511772e-04,
5.33594321e-05, 1.04571976e-04, 1.55322050e-04, 6.26062829e-05,
8.67546623e-05, 8.75647675e-05, 9.19308004e-05, 8.30044955e-05,
3.91878188e-04, 1.55083166e-04, 2.18062312e-04, 5.47940690e-05,
2.67637108e-04, 9.99580516e-05, 5.88726434e-05, 1.70367610e-04,
3.06041591e-04, 1.26864499e-04, 8.93296383e-05, 1.99350179e-04,
8.42493318e-05, 5.53758655e-05, 2.14553453e-04, 3.07951632e-05,
5.40323788e-04, 5.05377422e-04, 1.59069721e-03, 1.37152895e-03,
3.99917830e-04, 2.23934810e-04, 3.53816926e-04, 9.24234264e-05,
8.57141858e-05, 6.40721773e-05, 6.18127233e-04, 8.61523004e-05,
4.58934577e-03, 3.27152593e-05, 1.37860960e-04, 2.18943329e-04,
1.27535328e-04, 5.21587172e-05, 5.43547270e-04, 1.91307743e-04,
1.25224324e-04, 1.79172959e-04, 1.04309620e-04, 8.82932945e-05,
1.12165602e-04, 1.41251963e-04, 1.73657405e-04, 9.15883793e-05,
3.67724424e-05, 9.40651153e-05, 2.09191727e-04, 8.15087260e-05,
1.69037769e-04, 1.56109105e-04, 6.73949035e-05, 8.21881258e-05,
1.92761858e-04, 1.19385433e-04, 2.79401633e-04, 1.31289038e-04,
4.18578245e-04, 6.70264708e-05, 5.04239579e-05, 1.48346517e-04,
2.31958824e-04, 1.20585413e-04, 1.68051978e-04, 1.08826971e-04,
1.91743369e-04, 5.31767546e-05, 6.33281379e-05, 6.92656031e-05,
1.93085478e-04, 1.87085097e-04, 8.47041956e-05, 1.22755664e-04,
9.80862169e-05, 1.89199796e-04, 7.06634746e-05, 1.16523930e-04,
1.28332773e-04, 2.46308446e-05, 1.84471137e-04, 1.43419180e-04,
7.63021089e-05, 3.95128416e-04, 1.73634224e-04, 5.96322061e-05,
5.35206345e-05, 2.33544110e-04, 1.11555084e-04, 1.47868675e-04,
1.00489095e-04, 2.19161666e-04, 2.30437247e-04, 3.04403384e-05,
2.23030715e-04, 1.16321855e-04, 3.33658536e-05, 7.68148675e-05,
8.51553341e-05, 1.14795534e-04, 1.26401603e-04, 1.53631277e-04,
5.07149562e-05, 2.35431507e-04, 6.23475134e-05, 1.37991839e-04,
1.39428172e-04, 1.18243719e-04, 1.06803825e-04, 2.24521820e-04,
7.91577550e-05, 1.75598558e-04, 1.30743778e-04, 5.69842086e-05,
1.22614336e-04, 3.72887080e-05, 1.40104894e-04, 4.69832667e-05,
1.03271013e-04, 7.24934274e-04, 1.21827783e-04, 9.29817252e-05,
2.55103732e-05, 4.42846416e-04, 5.43120041e-05, 3.53956311e-05,
3.34859687e-05, 7.84082295e-05, 3.35857221e-05, 1.40498945e-04,
1.69718129e-04, 7.28290252e-05, 1.22416051e-04, 3.52306124e-05,
4.57394344e-05, 1.97966692e-05, 2.49495060e-05, 6.46042681e-05,
4.95654276e-05, 7.56121372e-05, 2.09465041e-04, 8.16452593e-05,
3.08032264e-04, 3.45117805e-05, 1.73238746e-04, 7.52167907e-05,
7.92357750e-05, 1.22218451e-04, 4.44902435e-05, 2.93514258e-05,
4.01044701e-04, 1.84219389e-04, 2.27454002e-05, 2.45769363e-04,
2.97496827e-05, 9.51827315e-05, 2.14148386e-05, 3.16474936e-04,
1.72666085e-04, 1.54107591e-04, 1.84433666e-04, 6.36263940e-05,
1.07371758e-04, 1.66071142e-04, 1.17334852e-03, 1.04299281e-04,
5.68310534e-05, 8.74103280e-05, 1.37094903e-04, 3.45822227e-05,
6.66382548e-05, 8.96127603e-05, 2.14539730e-04, 4.54392684e-05,
1.27015708e-04, 6.50922884e-05, 7.95299711e-05, 4.10290013e-05,
2.63688387e-04, 4.68239778e-05, 2.27216718e-04, 7.46980222e-05,
8.15660387e-05, 4.06674917e-05, 3.38863138e-05, 8.23045266e-05,
5.92549950e-05, 5.41744485e-05, 7.08728330e-05, 4.04100516e-04,
7.70658880e-05, 3.70806840e-04, 3.12309057e-05, 1.97725851e-04,
2.47187942e-04, 9.61885089e-05, 2.69910670e-04, 5.68114883e-05,
1.99620525e-04, 1.95509696e-04, 6.65988046e-05, 6.44873217e-05,
1.31341265e-04, 1.92554973e-04, 5.07241966e-05, 1.38655247e-04,
2.75900529e-05, 6.78528522e-05, 3.30349052e-04, 1.90666142e-05,
2.98200437e-04, 1.40493314e-04, 1.70666506e-04, 4.63973374e-05,
1.18595854e-04, 5.20343092e-05, 1.69138395e-04, 5.65567170e-05,
9.59900281e-05, 5.91514399e-05, 8.79926229e-05, 1.06231302e-04,
8.16348256e-05, 1.82372496e-05, 2.43178642e-04, 2.56375264e-04,
1.15124225e-04, 7.99583504e-05, 1.08380787e-04, 9.32839757e-05,
2.41485905e-05, 1.19414930e-04, 9.47339140e-05, 1.95659275e-04,
6.46503177e-05, 2.30991827e-05, 6.82590762e-05, 3.50338414e-05,
2.21599606e-04, 5.96426144e-05, 3.03996203e-04, 2.22408809e-04,
9.25040295e-05, 5.32072445e-04, 7.38987728e-05, 1.56786933e-04,
1.22447282e-05, 3.07443261e-04, 6.09398339e-05, 6.09742492e-05,
2.46880154e-05, 1.03942009e-04, 2.29817142e-05, 2.92518325e-05,
2.52825033e-04, 2.11009057e-04, 3.27832822e-05, 9.59935933e-05,
6.41659863e-05, 1.34871007e-04, 2.91909848e-04, 1.61318036e-04,
1.04100829e-04, 6.04103225e-05, 1.89732737e-03, 3.84803752e-05,
2.44170569e-05, 4.58351933e-05, 3.03022352e-05, 9.89964683e-05,
1.08731852e-04, 8.79131039e-05, 3.42584317e-05, 5.89701340e-05,
1.41111406e-04, 5.65637820e-05, 2.73943180e-04, 7.94744701e-05,
2.75624898e-05, 1.79002847e-04, 3.20439904e-05, 4.01911711e-05,
6.91880297e-04, 5.99475279e-05, 3.24872235e-04, 3.26173467e-05,
3.17062833e-04, 9.55461510e-05, 5.90243144e-05, 1.27728621e-04,
1.58889670e-05, 1.58559458e-04, 4.64793156e-05, 4.41897646e-05,
1.21598881e-04, 3.55092998e-05, 1.45709520e-04, 1.66681857e-04,
6.37577250e-05, 2.93861267e-05, 2.46343679e-05, 1.51074870e-04,
1.15553208e-04, 4.78302645e-05, 7.67789097e-05, 5.01394097e-05,
1.35983908e-04, 2.29644822e-04, 8.98173239e-05, 6.20254286e-05,
9.68820168e-05, 4.52294516e-05, 1.10229674e-04, 2.94629601e-04,
1.73956767e-04, 1.83519733e-04, 5.05928838e-05, 3.73761104e-05,
1.85178127e-04, 1.76284826e-04, 1.69158870e-04, 1.49721032e-04,
4.36251066e-05, 4.67171543e-04, 6.74067924e-05, 1.27141742e-04,
7.35896174e-05, 9.67729648e-05, 2.99128096e-05, 4.12096233e-05,
2.62128335e-04, 2.34183426e-05, 4.84593293e-05, 1.34533720e-05,
1.15571493e-04, 2.18467485e-05, 8.15975509e-05, 2.06856741e-04,
4.34979447e-05, 2.33252300e-04, 1.09847897e-04, 3.91790563e-05,
1.93952888e-04, 3.42025596e-04, 2.01833405e-04, 1.17112661e-03,
1.60884010e-04, 7.82767776e-04, 4.64547629e-04, 3.84534833e-05,
2.87294715e-05, 2.24903255e-04, 1.49257699e-04, 1.42122430e-04,
1.06840409e-04, 9.11054158e-05, 1.15112038e-04, 1.15823728e-04,
8.08128170e-05, 5.82063440e-05, 6.73053582e-05, 2.94883976e-05,
4.20455799e-05, 4.37843264e-05, 2.74728052e-04, 5.48670178e-05,
3.81824299e-04, 1.67953986e-05, 2.72362850e-05, 5.40482288e-05,
1.64525482e-04, 8.93207034e-05, 4.18366290e-05, 1.25944833e-04,
7.76158995e-05, 4.89292361e-05, 3.62184292e-05, 2.08642028e-04,
1.01298494e-04, 2.60405155e-04, 4.85729652e-05, 1.70002430e-04,
4.03549384e-05, 6.71099406e-05, 5.64547081e-04, 7.36018264e-05,
3.98513890e-04, 5.56241612e-05, 1.22225320e-04, 8.59557476e-05,
4.84350981e-04, 1.27549923e-04, 1.11159607e-04, 3.87158834e-05,
4.13365633e-05, 2.05121134e-04, 9.99314580e-05, 8.60677974e-05,
4.24523227e-04, 8.53716338e-05, 2.31381724e-04, 1.26166997e-04,
1.10866131e-04, 2.64918432e-04, 6.11367068e-05, 4.02883394e-04,
1.20261437e-04, 1.34410293e-04, 2.00773691e-04, 2.63802176e-05,
2.05503151e-04, 5.65347691e-05, 2.83691588e-05, 4.49825384e-05,
1.12823356e-04, 1.23497884e-04, 8.63088717e-05, 6.63896571e-05,
1.66309823e-04, 6.92491521e-05, 1.53617351e-04, 7.60300827e-05,
5.78708750e-05, 1.03795799e-04, 3.31379451e-05, 1.58740862e-04,
1.61363743e-04, 5.30800826e-05, 2.24417454e-05, 2.22606886e-05,
1.71727559e-04, 4.10027533e-05, 1.15255061e-04, 1.47397717e-04,
6.97938085e-05, 1.14829258e-04, 8.48484269e-05, 3.51481402e-04,
7.80094197e-05, 1.82177901e-04, 3.73877148e-04, 4.68569488e-05,
9.96852104e-05, 2.19094145e-04, 1.26458268e-04, 2.83117515e-05,
6.44316897e-05, 1.04885592e-04, 1.12747206e-04, 9.83163191e-05,
3.95704235e-04, 6.39027858e-04, 1.61541277e-04, 2.17985798e-04,
2.17157067e-04, 1.03670754e-04, 2.44645489e-04, 1.68657035e-03,
1.32509813e-04, 6.61895756e-05, 1.19611650e-04, 4.80412855e-05,
2.57745909e-04, 1.31544715e-04, 4.41375378e-05, 1.74226134e-05,
1.85044657e-04, 7.95937012e-05, 2.71848257e-05, 4.93986590e-05,
8.80843872e-05, 1.37930925e-04, 6.40043290e-05, 5.59364198e-05,
1.12895097e-03, 6.42800296e-05, 7.14866110e-05, 1.54863839e-04,
6.85527702e-05, 1.34326488e-04, 1.24801081e-04, 6.16627076e-05,
8.39372078e-05, 1.32004789e-04, 1.34293310e-04, 1.82092263e-04,
3.61679849e-04, 8.00306007e-05, 4.64130062e-05, 3.74818737e-05,
3.10534233e-05, 5.24086245e-05, 8.81037995e-05, 8.17780907e-04,
2.74838123e-04, 8.47838819e-05, 2.31626454e-05, 8.75646001e-05,
9.68791501e-05, 6.53474272e-05, 8.53482634e-05, 7.17474468e-05,
8.97564460e-05, 1.50838197e-04, 1.08210472e-04, 3.17193626e-05,
7.70500119e-05, 2.05411270e-04, 2.80741922e-04, 2.78152351e-04,
1.26953761e-03, 2.00227860e-05, 9.94908987e-05, 6.93647526e-05,
4.19705830e-05, 2.93302146e-04, 1.27094463e-04, 1.93998485e-03,
6.79299628e-05, 3.94502822e-05, 1.36228191e-04, 1.14123126e-04,
5.99067207e-05, 1.51965709e-04, 1.17074080e-04, 5.12101069e-05,
1.48433261e-04, 7.58997558e-05, 3.19908751e-04, 2.02665960e-05,
4.93365806e-04, 2.54410232e-04, 1.09921464e-04, 4.64630502e-05,
2.50389072e-04, 2.18303263e-04, 1.55412286e-04, 1.12871849e-03,
1.86011777e-04, 2.98205676e-04, 4.60106821e-05, 7.16912968e-04,
2.59207678e-04, 1.71023799e-04, 1.80349845e-04, 2.30558813e-04,
1.73165739e-04, 2.65997631e-04, 1.11563066e-04, 5.50396435e-05,
4.24228601e-05, 5.86922979e-05, 4.51826345e-05, 1.46575709e-04,
1.03678176e-04, 2.07143067e-03, 2.70631368e-04, 8.58951898e-05,
4.84310985e-05, 5.53375168e-04, 1.28947635e-04, 6.51760784e-05,
3.94979397e-05, 1.38152609e-04, 5.33969505e-05, 2.38382141e-04,
2.82653218e-05, 1.56730719e-04, 9.13302938e-05, 5.26279982e-05,
2.52239086e-04, 1.16737931e-04, 1.48563413e-04, 9.49895839e-05,
3.08900111e-04, 2.21941809e-04, 5.45303992e-05, 5.57373714e-05,
3.35831282e-05, 6.70847949e-05, 1.15702293e-04, 2.06631492e-03,
6.47916284e-04, 1.67681515e-04, 8.72557503e-05, 1.34196394e-04,
4.22707701e-04, 1.65360121e-04, 6.71246598e-05, 4.16363400e-05,
8.19796696e-05, 7.98999608e-05, 3.59762489e-05, 5.02060611e-05,
4.74872941e-05, 6.63043684e-05, 7.22145196e-05, 7.17777657e-05,
4.29494976e-05, 7.26315557e-05, 2.31657948e-04, 2.73220339e-05,
5.21423062e-05, 8.45083632e-05, 4.54543515e-05, 1.35523282e-04,
6.52583694e-05, 9.92048663e-05, 3.13979457e-04, 7.84729418e-05,
1.63235964e-04, 1.46975493e-04, 2.65033541e-05, 2.34487467e-04,
1.02264486e-04, 5.81818713e-05, 5.44811701e-05, 2.30875201e-04,
1.91134488e-04, 7.27508595e-05, 6.60827936e-05, 9.76660885e-05,
7.50283725e-05, 4.63999932e-05, 5.43736751e-05, 1.14128685e-04,
6.02738837e-05, 4.33864552e-05, 6.70546069e-05, 1.26304847e-04,
4.16659750e-05, 4.83899203e-05, 5.76203529e-05, 5.51089252e-05,
3.92322981e-05, 6.15574681e-05, 8.48050622e-05, 8.58503918e-05,
3.88890505e-04, 5.94242010e-05, 1.65312507e-04, 2.96324542e-05,
6.85376071e-05, 4.99063681e-05, 2.16904464e-05, 5.68120886e-05,
9.59355675e-05, 7.61609263e-05, 2.87401606e-04, 4.62457101e-04,
1.08252898e-04, 1.55851769e-04, 2.67443451e-04, 1.70740735e-04,
1.57365750e-04, 6.48255300e-05, 1.70107523e-04, 1.98040609e-04,
7.98428373e-05, 8.17718028e-05, 2.39767469e-04, 7.86012388e-05,
2.67967844e-04, 4.41350094e-05, 4.16262556e-05, 4.20541619e-05,
2.16891538e-04, 3.97603762e-05, 1.06065294e-04, 5.23930830e-05,
1.14354640e-04, 2.06031807e-04, 1.40620250e-04, 3.66719847e-04,
9.01015592e-05, 8.98688624e-04, 6.38833444e-05, 1.44667458e-04,
1.40704637e-04, 4.58744653e-05, 3.09139374e-04, 1.11972367e-04,
1.56585505e-04, 1.71806358e-04, 1.38452742e-05, 1.54848181e-04,
1.82327727e-04, 2.58886022e-04, 1.10249544e-04, 6.27472255e-05,
4.14434144e-05, 9.10647650e-05, 5.36503328e-04, 5.52333309e-04,
3.55490105e-04, 1.17692689e-04, 1.12031114e-04, 5.00422204e-04,
2.07518067e-04, 5.95203892e-05, 3.16058722e-04, 1.55036196e-05]],
dtype=float32)
Copy to Clipboard
[[('n01806143', 'peacock', 0.8399663),
('n02319095', 'sea_urchin', 0.004589346),
('n04417672', 'thatch', 0.0020714307),
('n04507155', 'umbrella', 0.002066315),
('n04275548', 'spider_web', 0.0019399849)]]
Wow! it predicted as “peacock” with 0.839 prediction accuracy.
Let’s check the prediction accuracy on VGG19, VGG16, InceptionV3, and ResNet50.
[[('n01806143', 'peacock', 0.9996327),
('n03388043', 'fountain', 0.00026104704),
('n04275548', 'spider_web', 6.334605e-05),
('n02264363', 'lacewing', 1.5451687e-05),
('n09229709', 'bubble', 9.714672e-06)]]
VGG19:
[[('n01806143', 'peacock', 0.9998727),
('n03388043', 'fountain', 9.9049765e-05),
('n02319095', 'sea_urchin', 2.4065557e-05),
('n04355338', 'sundial', 1.9788606e-06),
('n04275548', 'spider_web', 1.7210288e-06)]
InceptionV3:
[[('n01806143', 'peacock', 0.9459367),
('n03837869', 'obelisk', 0.0008704575),
('n03388043', 'fountain', 0.0007681409),
('n02319095', 'sea_urchin', 0.00064359274),
('n01847000', 'drake', 0.0005463721)]]
[[('n01806143', 'peacock', 0.99985063),
('n03944341', 'pinwheel', 3.6463603e-05),
('n02906734', 'broom', 2.0019048e-05),
('n04376876', 'syringe', 1.4127226e-05),
('n02319095', 'sea_urchin', 1.3131667e-05)]]
In this example, we could see all pretrained model predicts as "peacock".
Leave A Comment