How To Prepare Datasets For Training YOLOv5 Object Detection- Official - YOLOV5 Training
Watch this video to learn how to prepare a dataset for training a Custom Object Detector using the official YOLOv5.
We discuss the dataset format for YOLOv5 as well as provide tips on how you should prepare a dataset that allows your model to learn efficiently. We also talk about how to perform a train-val-test split and discuss how variance in data is a primary ingredient for learning a robust model.
❓ FAQ
How would you prepare a dataset for object detection?
How do I train my YOLOv5 with a custom dataset?
What is the name of the dataset YOLOv5 model used to detect objects?
How many epochs should I train YOLOv5?
📚 Link to the blog post of this video:
https://learnopencv.com/custom-object...
🎵 YOLO Master Class Playlist:
• YOLO Master Class: Master The Vision
⭐️ Time Stamps ⭐️
0:00-00:20: Introduction
00:20-2:38: How to prepare your data
2:38-6:12: How to create a Dataset
6:12-8:18: Directory Structure
8:18-9:02: Tools required
🖥️ 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.
🤖 Learn from the experts on AI: Computer Vision and AI Courses
YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.🤖
https://opencv.org/courses
#️⃣ Social Media #️⃣
📝 Linkedin: / satyamall. .
📱 Twitter: / learnopencv
🔊 Facebook: https://www.facebook.com/profile.php?...
📸 Instagram: / learnopencv
🔗 Reddit: / spmallick
🔖Hashtags🔖
#AI #Yolov5 #machinelearning #objectdetection #deeplearning #computervision #Dataset #DataPreparation #DeepLearningTips #TrainValSplit #DataUnderstanding