Python-Projects-for-Beginners VS YOLOv3-Cloud-Based-Fire-Detection

Compare Python-Projects-for-Beginners vs YOLOv3-Cloud-Based-Fire-Detection and see what are their differences.

Python-Projects-for-Beginners

Find Beginner-Friendly Python Projects to get you started with programming. (by SaiAshish-Konchada)

YOLOv3-Cloud-Based-Fire-Detection

Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc. (by snehitvaddi)
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Python-Projects-for-Beginners YOLOv3-Cloud-Based-Fire-Detection
2 1
8 38
- -
0.0 1.5
over 1 year ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- -
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.

Python-Projects-for-Beginners

Posts with mentions or reviews of Python-Projects-for-Beginners. 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 Python-Projects-for-Beginners and YOLOv3-Cloud-Based-Fire-Detection you can also consider the following projects:

learnopencv - Learn OpenCV : C++ and Python Examples

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

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

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