City Detector 🏙️

Coquitlam Paris Seoul and New York.

Let’s make app that recognizes Coquitlam!

Let’s get the images of each city

(#596) [Path('cities/coquitlam/00000000.jpg'),Path('cities/coquitlam/00000001.jpg'),Path('cities/coquitlam/00000002.png'),Path('cities/coquitlam/00000003.jpg'),Path('cities/coquitlam/00000004.jpg'),Path('cities/coquitlam/00000005.jpg'),Path('cities/coquitlam/00000006.jpg'),Path('cities/coquitlam/00000007.jpg'),Path('cities/coquitlam/00000008.jpg'),Path('cities/coquitlam/00000009.jpg')...]

(#16) [Path('cities/coquitlam/00000067.jpg'),Path('cities/coquitlam/00000077.JPG'),Path('cities/coquitlam/00000079.jpg'),Path('cities/coquitlam/00000135.jpg'),Path('cities/new york city/00000010.jpg'),Path('cities/new york city/00000014.jpg'),Path('cities/new york city/00000020.jpg'),Path('cities/new york city/00000026.jpg'),Path('cities/new york city/00000029.jpg'),Path('cities/new york city/00000037.jpg')...]

(#16) [None,None,None,None,None,None,None,None,None,None...]

Let’s load the data

Let’s scale and augment the datas

Let’s build and run a CNN model

epoch	train_loss	valid_loss	error_rate	time
0	2.187395	1.315027	0.482759	00:42

epoch	train_loss	valid_loss	error_rate	time
0	1.307873	0.871226	0.336207	00:41
1	1.064780	0.831430	0.241379	00:41
2	0.876646	0.767134	0.215517	00:41
3	0.784991	0.738216	0.224138	00:49

Let’s look at the confusion matrix

We got an accuracy of 26/90 = 71% (rounded)

Let’s try to clean up the dataset

epoch	train_loss	valid_loss	error_rate	time
0	1.933403	1.322945	0.460870	00:38

epoch	train_loss	valid_loss	error_rate	time
0	1.258363	0.800413	0.347826	00:37
1	1.014135	0.660854	0.243478	00:38
2	0.851025	0.609896	0.243478	00:38
3	0.725140	0.591347	0.217391	00:37
4	0.623130	0.582418	0.226087	00:37

Valid_loss doesn’t decrease so we stop

It looks like it has a hard time highlighting seoul city’s characteristics as most error comes from seoul images. Suspected factors include seoul having new york like buildings, mountains like coquitlam and brick structures like paris city.

Ignore Below (Deployment IPR)

(#1) [Path('export.pkl')]

['coquitlam', 'new york city', 'paris city', 'seoul city']