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How to Detect Cards using Deep Learning | Yolo V8
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In this video, we demonstrate how to implement Object Detection using YOLOv8 and Python, specifically for Detecting playing cards. Follow along as we load a trained YOLO model, process images, and visualize both predictions and ground truth annotations.
What you'll learn:
How to import and utilize the YOLOv8 model from the ultralytics library.
How to load and interpret annotation data from a YAML file.
How to train your YOLOv8 model with a custom cards dataset.
How to make predictions and draw bounding boxes around detected teeth.
~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
00:00 Introduction
00:43 Installation and Download the dataset
04:45 Data discovery
16:26 Train
24:00 Test the model
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#EranFeit #objectdetection #yolo
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
What you'll learn:
How to import and utilize the YOLOv8 model from the ultralytics library.
How to load and interpret annotation data from a YAML file.
How to train your YOLOv8 model with a custom cards dataset.
How to make predictions and draw bounding boxes around detected teeth.
~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
00:00 Introduction
00:43 Installation and Download the dataset
04:45 Data discovery
16:26 Train
24:00 Test the model
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#EranFeit #objectdetection #yolo
~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
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