Template Credit: Adapted from an Object Detection tutorial on TensorFlow.org.
Additional Notes: I adapted this workflow from the TensorFlow Object Detection tutorial on TensorFlow.org (https://www.tensorflow.org/hub/tutorials/object_detection). I plan to build a script for building future projects using object detection models.
SUMMARY: This project aims to construct an object detection model using the TensorFlow-based neural network and document the end-to-end steps using a template.
This iteration will use the TF2 CenterNet HourGlass104 1024×1024 object detection model to test some sample images. The model was constructed using the CenterNet Object detection model with the Hourglass backbone and trained on COCO 2017 dataset with training images scaled to 1024×1024.
Original Script Location: https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/tf2_object_detection.ipynb
Images Used: See project code below
Dataset ML Model: Image Object Detection using TensorFlow Hub Models
Additional References: https://tfhub.dev/s?module-type=image-object-detection
The HTML formatted report can be found here on GitHub.