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YOLOv8 Object Detector Custom Training: YOLOV8 is the latest induction to the YOLO family that Ultralytics has released. Not only can YOLOV8 detect the objects in an image, it can also segment and classify the objects.
YOLOv8 Object Detector - This video will teach how to train a Custom YOLOv8 Object Detector.
We have covered the following topics:
✅What's new in YOLOv8?
✅Models Available in YOLOv8
✅Features Provided by YOLOv8
✅Custom Object Detection Training using YOLOv8
✅Approach for Custom Training
✅The Custom Training Code
✅Preparing the Pothole Detection Dataset
✅Training the Nano Model (yolov8n)
What’s New in YOLOv8?
Ultralytics have released a completely new repository for YOLO Models. It is built as a unified framework for training Object Detection, Instance Segmentation, and Image Classification models.
Here are some key features about the new release:
✅User-friendly API (Command Line + Python).
✅Faster and More Accurate.
✅Supports Object Detection, Instance Segmentation, Image Classification.
✅Extensible to all previous versions.
✅New Backbone network.
✅New Anchor-Free head.
✅New Loss Function.
✅YOLOv8 is also highly efficient and flexible supporting numerous export formats and the model can run on CPUs & GPUs.
⭐️ Time Stamps:⭐️
00:00-00:15: Introduction
00:15-01:03: YOLOv8 Models
01:03-01:29: References
01:29-01:54: Train & Valid
01:54-02:23: Fine-tuning
02:23-02:40: Importing Libraries
02:40-03:26: Downloading Datasets
03:26-04:47: Visualizing Images
04:47-05:13: Dataset Yaml File
05:13-08:10: CLI Method
08:10-08:20: SGD optimizer
08:20-08:37: Warnings
08:37-10:00: Metrics
10:00-10:31: Evaluation
10:31-11:00: Inference
11:00-11:15: Visualize
11:15-11:37: Outro
Resources:
🎵 YOLO Master Class Playlist:
https://www.youtube.com/playlist?list=PLfYPZalDvZDLALsG9o-cjwNelh-oW9Xc4
☢️ GitHub Code Link
https://github.com/spmallick/learnopencv/tree/master/Train-YOLOv8-on-Custom-Dataset-A-Complete-Tutorial
🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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