In this video you’ll learn how to calculate both training and evaluation metrics for object detection models built using the Tensorflow Object Detection API with Python. You’ll learn how to evaluate your Python Object Detection model and calculate mean average precision (mAP) and average recall.

Chapters:
0:00​ - Start
3:19​ - Calculating Training Loss and Metrics
6:14​ - Coding the Evaluation Script
9:08​ - Calculating Mean Average Precision (mAP) and Average Recall (AP)
12:21​ - Viewing mAP and AP in Tensorboard

In this video, you’ll learn how to:

1. Viewing Training Results and Loss inside of Tensorboard

2. Evaluating the Performance of Tensorflow Object Detection Models

3. Calculating Mean Average Precision (mAP) and Average Recall (AP) for Object Detection models

4. Viewing mAP and AR for Evaluation Data using Tensorboard

Get the Tutorial Code: https://github.com/nicknochnack/Tenso… ​

Real Time Object Detection Code: https://github.com/nicknochnack/RealT… ​

Full Stack Object Detection Playlist: https://www.youtube.com/playlist?list… ​

Subscribe: https://www.youtube.com/channel/UCHXa4OpASJEwrHrLeIzw7Yg

#tensorflow #python