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 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: 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.