Object detection image
Building an Object Detection Model
When we’re shown an image, our brain instantly recognizes the objects contained in it. On the other hand, it takes a lot of time and training data for a machine to identify these objects. But with the recent advances in hardware and deep learning, this computer vision field has become a whole lot easier and more intuitive.
Using tensorflow algorithm , a product made by Google, and using pre-trained models (like COCO, Yolo, or Keras) we can submit an image to the computer algorithm and the system identify the objects in the image.
Predict this image:
Prediction:
car : 76.26890540122986
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car : 94.30564641952515
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car : 70.49705386161804
The system made 3 executions and present us the object identified and the percentage of the precision it predict them.
See my code at:
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