LearnOpenCV YouTube channel thumbnail
LearnOpenCV
Subscribers 65.2K
Videos 568
Views 3.5M

Channels Like LearnOpenCV

LearnOpenCV focuses on computer vision, machine learning, and artificial intelligence, delivering tutorials and informative content across topics like OpenCV, object detection, segmentation, pose estimation, and image processing. The channel publishes tutorial-style videos and deep-dives, with content ranging from practical how-tos to comparisons, and maintains an upload cadence of multiple videos per week, averaging around 87K views per video and roughly 9 minutes per video.

Similar Channels

We found 45 YouTube channels similar to LearnOpenCV

Ultralytics YouTube channel thumbnail
#1
Ultralytics

89% relevance

Subscribers 24.3K
Videos 587
Views 3.3M
Appearances 22
SERP 100%
Similarity 82%
pose estimation tools semantic segmentation instance segmentation

Both target computer vision tasks like pose estimation, segmentation, and object detection, with high search overlap (pose estimation tools, semantic/instance segmentation) and a strong content emphasis on practical CV tooling.

Edje Electronics YouTube channel thumbnail
#2
Edje Electronics

87% relevance

Subscribers 41.7K
Videos 20
Views 4.3M
Appearances 9
SERP 93%
Similarity 82%
object detection training YOLO training custom object detector

Shares a focus on training and deploying object detectors (YOLO training, custom detectors), aligning with LearnOpenCV’s CV tutorials though Edje Electronics emphasizes training workflows.

Roboflow YouTube channel thumbnail
#3
Roboflow

74% relevance

Subscribers 68.7K
Videos 312
Views 5.4M
Appearances 16
SERP 70%
Similarity 77%
image segmentation tutorials instance segmentation video annotation tools

Similar audience for image/instance segmentation and video annotation tools, with content oriented toward tutorials and practical CV workflows, though Roboflow emphasizes data labeling platforms more than LearnOpenCV’s breadth of tutorials.

Murtaza's Workshop - Robotics and AI YouTube channel thumbnail
#4

72% relevance

Subscribers 450K
Videos 416
Views 44.2M
Appearances 11
SERP 64%
Similarity 78%
computer vision tutorials openCV tutorials object detection training

Targets computer vision tutorials and OpenCV/object detection training, overlapping strongly on CV fundamentals and practical tutorials, but with a broader robotics/AI scope and higher audience size.

TheCodingBug YouTube channel thumbnail
#5
TheCodingBug

69% relevance

Subscribers 11.4K
Videos 39
Views 1.6M
Appearances 9
SERP 42%
Similarity 88%
instance segmentation YOLO training custom object detector

Competes on instance segmentation and YOLO training topics, sharing an audience interested in custom detectors and segmentation workflows, though TheCodingBug leans more into rapid tutorials and project-led content.

Felipe Tambasco YouTube channel thumbnail
#6
Felipe Tambasco

67% relevance

Subscribers 60.3K
Videos 81
Views 4.3M
Appearances 8
SERP 35%
Similarity 88%
computer vision tutorials openCV tutorials object detection training

Covers computer vision and OpenCV tutorials with object detection training, aligning on core CV techniques but differing in presentation style and depth of tutorials.

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Content Landscape

Top competitors by match strength are Ultralytics (89% match) and Edje Electronics (87% match). Ultralytics overlaps on pose estimation tools, semantic segmentation, and instance segmentation, while Edje Electronics overlaps on object detection training, YOLO training, and custom object detectors. Roboflow (74% match) also competes, with overlaps in image segmentation tutorials, instance segmentation, and video annotation tools. LearnOpenCV has a subscriber base of 65.2K, which is smaller than Murtaza's Workshop - Robotics and AI (450K) and Roboflow (68.7K) and Edje Electronics (41.7K) and Ultralytics (24.3K). The common queries driving this competition include image segmentation, object detection training, YOLO training, and openCV tutorials.

Video Highlights

Recent content from similar channels

Didn't Make the Cut

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#37 47% Core Electronics 69% 227K 14% 2
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Search Queries Used

computer vision tutorials openCV tutorials object detection training pose estimation tools image segmentation tutorials semantic segmentation instance segmentation panoptic segmentation video annotation tools pose estimation comparison YOLO training custom object detector fitness analysis with AI human pose estimation tools dataset preparation for object detection computer vision basics image processing tutorials machine learning fundamentals deep learning for CV object detection datasets pose estimation tutorials semantic segmentation basics instance segmentation guide panoptic segmentation overview neural network training tips model evaluation metrics data augmentation techniques annotation best practices transfer learning in CV real-time object tracking face recognition ethics drone vision applications medical image analysis tutorials embedded vision projects automated video annotation

Frequently Asked Questions

Which YouTube channels are most similar to LearnOpenCV?

LearnOpenCV's biggest competitors on YouTube are Ultralytics (24.3K subscribers) with an 89% match, Edje Electronics (41.7K subscribers) with an 87% match, and Roboflow (68.7K subscribers) with a 74% match. All three channels produce content focused on computer vision, object detection, and AI/machine learning topics, similar to LearnOpenCV.

What type of content does LearnOpenCV make?

LearnOpenCV creates tutorials and educational videos about computer vision, artificial intelligence, deep learning, and OpenCV topics. Recent videos include tutorials on YOLOv5 object detection, object tracking, 2D convolution, and CVAT, with an average of about 87K views per video and an implied uploads rhythm of multiple videos per week.

How do we determine which channels are similar to LearnOpenCV?

We analyze LearnOpenCV's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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