Image Object Detection Model for Random Sample Images Using TensorFlow Take 4

Template Credit: Adapted from an Object Detection tutorial on

Additional Notes: I adapted this workflow from the TensorFlow Object Detection tutorial on ( 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 EfficientDet D4 1024×1024 object detection model to test some sample images. The model was constructed using the EfficientDet Object detection model (SSD with EfficientNet-b4 + BiFPN feature extractor, shared box predictor, and focal loss) and trained on COCO 2017 dataset with training images scaled to 1024×1024.

Original Script Location:

Images Used: See project code below

Dataset ML Model: Image Object Detection using TensorFlow Hub Models

Additional References:

The HTML formatted report can be found here on GitHub.