My Youtube Video on this!
In this tutorial, I will be training a Deep Learning model for custom object detection using TensorFlow 2.x on Google Colab. Following is the roadmap for it.
- Collect the dataset of images and label them to get their XML files.
- Install the TensorFlow Object Detection API.
- Generate the TFRecord files required for training. (need generate_tfrecord.py script and CSV files for this)
- Edit the model pipeline config file and download the pre-trained model checkpoint.
- Train and evaluate…