Learn how to build a face detection model using an Object Detection architecture using Tensorflow and Python!

Get the code here: https://github.com/nicknochnack/FaceDetection

Links
https://github.com/wkentaro/labelme
https://albumentations.ai/docs/getting_started/bounding_boxes_augmentation/
https://www.tensorflow.org/api_docs/python/tf/data/Dataset#batch

Chapters
0:00 – START
0:38 – Explainer
1:38 – PART 1 – COLLECt IMAGES & ANNOTATE
2:22 – Breakdown Board
8:51 – Setting up and Getting Data
32:47 – PART 2 – PARTITION & AUGMENT DATA
34:11 – Review dataset and build Image Loading Function
45:32 – Partition Unaugmented Data
53:08 – Apply Image Augmentation on Images and Labels
1:07:10 – Build and Run Augmentation Pipeline
1:15:10 – Prepare Labels
1:19:04 – Combine Label and Image Samples
1:24:57 – PART 3 – BUILD & TRAIN THE DEEP LEARNING MODEL
1:26:09 – Build a Deep Learning Model using the Functional API
1:41:20 – Defining a Custom Loss Function & Optimizer
1:45:51 – Train a Neural Network
2:03:25 – PART 4 – TEST AND PERFORM REAL TIME DETECTIONS
2:18:28 – Final Results
2:25:42 – Ending

Oh, and don’t forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#deeplearning #python

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