Project 4 / Scene Recognition with Bag of Words
Example of a right floating element.
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- list element 1.
- list element 2.
- etc.
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Example heading
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Example of code with highlighting
The javascript in thehighlighting folder is configured to do syntax highlighting in code blocks such as the one below.
%example code
for i = 1:length(offset)
source = imread(sprintf('%s/source_%02d.jpg',data_dir,i));
mask = imread(sprintf('%s/mask_%02d.jpg',data_dir,i));
target = imread(sprintf('%s/target_%02d.jpg',data_dir,i));
Results in a table
|
|
|
|
Accuracy (mean of diagonal of confusion matrix) is 0.261
| Category name | Accuracy | Sample training images | Sample true positives | False positives with true label | False negatives with wrong predicted label | ||||
|---|---|---|---|---|---|---|---|---|---|
| Kitchen | 0.080 |  |
 |
 |
 |
 Industrial |
 Forest |
 Highway |
 Forest |
| Store | 0.040 |  |
 |
 |
 |
 Office |
 TallBuilding |
 TallBuilding |
 Coast |
| Bedroom | 0.200 |  |
 |
 |
 |
 InsideCity |
 Store |
 OpenCountry |
 Mountain |
| LivingRoom | 0.100 |  |
 |
 |
 |
 Office |
 Kitchen |
 Bedroom |
 Office |
| Office | 0.190 |  |
 |
 |
 |
 Mountain |
 Bedroom |
 Industrial |
 InsideCity |
| Industrial | 0.130 |  |
 |
 |
 |
 LivingRoom |
 TallBuilding |
 InsideCity |
 Store |
| Suburb | 0.470 |  |
 |
 |
 |
 Coast |
 InsideCity |
 Kitchen |
 Street |
| InsideCity | 0.030 |  |
 |
 |
 |
 Suburb |
 Coast |
 TallBuilding |
 Store |
| TallBuilding | 0.180 |  |
 |
 |
 |
 Store |
 Forest |
 LivingRoom |
 Coast |
| Street | 0.600 |  |
 |
 |
 |
 Kitchen |
 Store |
 Highway |
 Suburb |
| Highway | 0.750 |  |
 |
 |
 |
 Suburb |
 Industrial |
 Coast |
 Mountain |
| OpenCountry | 0.310 |  |
 |
 |
 |
 Forest |
 Kitchen |
 Suburb |
 Coast |
| Coast | 0.400 |  |
 |
 |
 |
 Mountain |
 Mountain |
 InsideCity |
 OpenCountry |
| Mountain | 0.290 |  |
 |
 |
 |
 Store |
 Bedroom |
 Kitchen |
 Forest |
| Forest | 0.140 |  |
 |
 |
 |
 Mountain |
 Street |
 Suburb |
Kitchen |
| Category name | Accuracy | Sample training images | Sample true positives | False positives with true label | False negatives with wrong predicted label | ||||
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