October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Using the custom dataset
Now, if you want to build an object detector for your specific use case, then you will need to scrape around 100–200 images from the web and annotate them. There are lots of annotation tools available online, such as LabelImg (https://github.com/tzutalin/labelImg) or Fast Image Data Annotation Tool (FIAT) (https://github.com/christopher5106/FastAnnotationTool).
For you to play around with the custom object detector, we have provided some sample images with respective annotations. Look into the repository folder called Chapter0 9/yolo/new_class/.
Each image has its respective annotations, as shown in the following picture:
Figure 9.11: The relation between the image and the annotation which is shown here
Also, let's ...
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