(Redirected from
Draft:Darknet (Neural Networks))
| Submission declined on 22 December 2023 by
Lewcm (
talk). This submission appears to
read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's
verifiability policy and the
notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
| Submission declined on 20 December 2023 by
BuySomeApples (
talk). This submission's references do not show that the subject
qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published,
reliable,
secondary sources that are
independent of the subject (see the
guidelines on the notability of websites). Before any resubmission, additional references meeting these criteria should be added (see
technical help and learn about
mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. | |
| Original author(s) | Joseph Redmon |
|---|---|
| Initial release | First Commit / November 4, 2013 |
| Repository |
github |
| Written in | C_language, CUDA |
| Platform | Linux, GNU_variants |
| Type | machine learning and deep learning |
| License | META-LICENSE, GPL Version 3 or any later version, YOLO LICENSE, MIT_License |
| Website | https://pjreddie.com/darknet/ |
Darknet
Darknet [1] [2] is a free and open-source artificial intelligence program, written in C and CUDA, made to do things like " You only look once" scanning, [3] [4] [5] [6] [7] [8] [9] image manipulation, [10] playing the board game Go, [11] Recurrent neural networks, [12] [7] image classification, [13] and may be programmed to do other things.
You only look once algorithm
Image manipulation AI part
Go game AI part
Recurrent neural networks AI part
Computer_vision part
Other notably uses of Darknet
Websites showing information about darknet
This program can be found in the packages of Trisquel GNU/Linux, [14] PureOS, [15] as well as compiled from source code.
A webpage was made at MathWorks's website about this program. [16]
There is a webpage at medium.com showing blood cell detection using darknet. [17]
libexplainer.com has an article about how darknet is used by organizations such as YOLO and OpenCV. [18]
OpenCV has shown darknet as a supported framework for its OpenCV program. [19]
References
- ^ "Darknet: Open Source Neural Networks in C". 18 December 2023. Archived from the original on 18 December 2023. Retrieved 18 December 2023.
- ^ "darknet". 18 December 2023. Archived from the original on 18 December 2023. Retrieved 18 December 2023.
- ^ "YOLO: Real-Time Object Detection". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "Understanding a Real-Time Object Detection Network: You Only Look Once (YOLOv1)". 19 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "how to use darknet to train your own neural network". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "How computers learn to recognize objects instantly". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ a b "Darknet: The Open Source Framework for Deep Neural Networks". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "Your Comprehensive Guide to the YOLO Family of Models". 21 December 2023. Archived from the original on 21 December 2023. Retrieved 21 December 2023.
- ^ "People's Choice Award at CVPR 2016". 21 December 2023. Archived from the original on 21 December 2023. Retrieved 21 December 2023.
- ^ "Nightmare". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "DarkGo: Go in Darknet". 18 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "RNNs in Darknet". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "ImageNet Classification". 18 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "RPackage: darknet (0.0.0+git20180914.61c9d02e-2build4)". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "Index of /pureos/pool/main/d/darknet/)". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "yolov3-yolov4-matlab". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "Blood Cells Detection with YOLOV3 Darknet". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "darknet Convolutional Neural Networks". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "Deep Learning in OpenCV". 14 July 2019. Archived from the original on 14 July 2019. Retrieved 14 July 2019.
External links
(Redirected from
Draft:Darknet (Neural Networks))
| Submission declined on 22 December 2023 by
Lewcm (
talk). This submission appears to
read more like an advertisement than an entry in an encyclopedia. Encyclopedia articles need to be written from a
neutral point of view, and should refer to a range of
independent, reliable, published sources, not just to materials produced by the creator of the subject being discussed. This is important so that the article can meet Wikipedia's
verifiability policy and the
notability of the subject can be established. If you still feel that this subject is worthy of inclusion in Wikipedia, please rewrite your submission to comply with these policies.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
| |
| Submission declined on 20 December 2023 by
BuySomeApples (
talk). This submission's references do not show that the subject
qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published,
reliable,
secondary sources that are
independent of the subject (see the
guidelines on the notability of websites). Before any resubmission, additional references meeting these criteria should be added (see
technical help and learn about
mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. | |
| Original author(s) | Joseph Redmon |
|---|---|
| Initial release | First Commit / November 4, 2013 |
| Repository |
github |
| Written in | C_language, CUDA |
| Platform | Linux, GNU_variants |
| Type | machine learning and deep learning |
| License | META-LICENSE, GPL Version 3 or any later version, YOLO LICENSE, MIT_License |
| Website | https://pjreddie.com/darknet/ |
Darknet
Darknet [1] [2] is a free and open-source artificial intelligence program, written in C and CUDA, made to do things like " You only look once" scanning, [3] [4] [5] [6] [7] [8] [9] image manipulation, [10] playing the board game Go, [11] Recurrent neural networks, [12] [7] image classification, [13] and may be programmed to do other things.
You only look once algorithm
Image manipulation AI part
Go game AI part
Recurrent neural networks AI part
Computer_vision part
Other notably uses of Darknet
Websites showing information about darknet
This program can be found in the packages of Trisquel GNU/Linux, [14] PureOS, [15] as well as compiled from source code.
A webpage was made at MathWorks's website about this program. [16]
There is a webpage at medium.com showing blood cell detection using darknet. [17]
libexplainer.com has an article about how darknet is used by organizations such as YOLO and OpenCV. [18]
OpenCV has shown darknet as a supported framework for its OpenCV program. [19]
References
- ^ "Darknet: Open Source Neural Networks in C". 18 December 2023. Archived from the original on 18 December 2023. Retrieved 18 December 2023.
- ^ "darknet". 18 December 2023. Archived from the original on 18 December 2023. Retrieved 18 December 2023.
- ^ "YOLO: Real-Time Object Detection". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "Understanding a Real-Time Object Detection Network: You Only Look Once (YOLOv1)". 19 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "how to use darknet to train your own neural network". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "How computers learn to recognize objects instantly". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ a b "Darknet: The Open Source Framework for Deep Neural Networks". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "Your Comprehensive Guide to the YOLO Family of Models". 21 December 2023. Archived from the original on 21 December 2023. Retrieved 21 December 2023.
- ^ "People's Choice Award at CVPR 2016". 21 December 2023. Archived from the original on 21 December 2023. Retrieved 21 December 2023.
- ^ "Nightmare". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "DarkGo: Go in Darknet". 18 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "RNNs in Darknet". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "ImageNet Classification". 18 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "RPackage: darknet (0.0.0+git20180914.61c9d02e-2build4)". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "Index of /pureos/pool/main/d/darknet/)". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "yolov3-yolov4-matlab". 19 December 2023. Archived from the original on 19 December 2023. Retrieved 19 December 2023.
- ^ "Blood Cells Detection with YOLOV3 Darknet". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "darknet Convolutional Neural Networks". 20 December 2023. Archived from the original on 20 December 2023. Retrieved 20 December 2023.
- ^ "Deep Learning in OpenCV". 14 July 2019. Archived from the original on 14 July 2019. Retrieved 14 July 2019.
External links