Given such a powerful tool made available by TensorFlow, our plan is to leverage its API by creating a class you can use for annotating images both visually and in an external file. By annotating, we mean the following:
- Pointing out the objects in an image (as recognized by a model trained on MS COCO)
- Reporting the level of confidence in the object recognition (we will consider only objects above a minimum probability threshold, which is set to 0.25, based on the speed/accuracy trade-offs for modern convolutional object detectors discussed in the paper previously mentioned)
- Outputting the coordinates of two opposite vertices of the bounding box for each image
- Saving all such information in a text file in JSON format
- Visually representing the bounding box on the original image, if required
In order to achieve such objectives, we need to:
- Download...
