learnopencv VS YOLOv3-Cloud-Based-Fire-Detection

Compare learnopencv vs YOLOv3-Cloud-Based-Fire-Detection and see what are their differences.

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learnopencv YOLOv3-Cloud-Based-Fire-Detection
6 1
20,428 38
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8.6 1.5
3 days ago 12 months ago
Jupyter Notebook Jupyter Notebook
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

learnopencv

Posts with mentions or reviews of learnopencv. We have used some of these posts to build our list of alternatives and similar projects.

YOLOv3-Cloud-Based-Fire-Detection

Posts with mentions or reviews of YOLOv3-Cloud-Based-Fire-Detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-10.

What are some alternatives?

When comparing learnopencv and YOLOv3-Cloud-Based-Fire-Detection you can also consider the following projects:

conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).

TrainYourOwnYOLO - Train a state-of-the-art yolov3 object detector from scratch!

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

FireNET - A deep learning model for detecting fire in video and camera streams

xojo-opencvc - Xojo-OpenCVC brings OpenCV 4.5+ to Xojo, using the OpenCV-C API

peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).

Best_AI_paper_2020 - A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

F1_Quali_Prediction - Finding explainable models to predict Formula 1 Qualifying Results

fastMONAI - Simplifying deep learning for medical imaging

lane-detection-opencv - This is for detecting any lane in the road to identify the road map

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

vectordb-recipes - High quality resources & applications for LLMs, multi-modal models and VectorDBs