Object Detection

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Example 1

In the example you could choose an AI model you want to use for detection and the objects you want to detect. Not only that but also the results will be displayed as a bar chart. There are three parts to the bar chart. First is its height which is the "Object Occurrence" which is the time the object was saved as an image or would have been saved if the "Save Images" is on (this is directly related to the "Frames Skipped" in the "User Guide"). The remaining two will appear when you hover over a certain bar. One is the maximum time an object appeared in one frame. Notice that the person is two because there are two people. And the last one is the maximum confidence of the certain object since the beginning of the program. Note that since the YOLO version 3 was used on a car after the SSD, the maximum confidence of the car became 99.5 on the bar. These results will be one of the results to be saved the .csv file. They could be extremely important if for an example you have a lot of cameras and you make them all record for days for the object detection project. It might be a waste of your valuable time to go through the images which contain a detected object or objects one by one. Instead, you could have a simple graph which will describe to you what happen for all the time period. Note that the YOLO version 7 AI model is now available . So, it might be included in the future.