GITHUB . COM {
}
Detected CMS Systems:
- Wordpress (2 occurrences)
Title:
ultralytics/docs/en/datasets/classify/imagenet.md at main · ultralytics/ultralytics · GitHub
Description:
Ultralytics YOLO11 🚀. Contribute to ultralytics/ultralytics development by creating an account on GitHub.
Website Age:
17 years and 8 months (reg. 2007-10-09).
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Github.com utilizes WORDPRESS.
Traffic Estimate {📈}
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🚀🌠 Tremendous Traffic: 10M - 20M visitors per month
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How Does Github.com Make Money? {💸}
Subscription Packages {💳}
We've located a dedicated page on github.com that might include details about subscription plans or recurring payments. We identified it based on the word pricing in one of its internal links. Below, you'll find additional estimates for its monthly recurring revenues.How Much Does Github.com Make? {💰}
Subscription Packages {💳}
Prices on github.com are in US Dollars ($).
They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 4,989,889 paying customers.
The estimated monthly recurring revenue (MRR) is $20,957,532.
The estimated annual recurring revenues (ARR) are $251,490,385.
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Keywords {🔍}
imagenet, dataset, models, computer, vision, training, model, pretrained, learning, object, image, deep, yolo, visual, recognition, images, ultralytics, classification, challenge, train, tasks, detection, large, scale, ilsvrc, research, wordnet, hierarchy, epochs, largescale, category, development, python, load, imgsz, resources, code, classify, imagenetmd, indexmd, examples, extensive, role, advancing, annotated, million, synsets, highresolution, organized, synset,
Topics {✒️}
macros/yolo-cls-perf large-scale database consisting yolo11n-cls model large-scale database imagenet dataset projects large-scale dataset pretrained yolo model computational resources required visual recognition deep learning model yolo11n-cls large-scale deep learning models computer vision tasks md index advancing deep learning access pretrained models pretrained models reduce standardized evaluation metrics model training page object detection tasks li fei-fei} journal={international journal li fei-fei advancing computer vision code snippets computer vision technologies txt overrides readme imagenet dataset structured depth training instruction md license readme annotated images designed md fashion-mnist sheer volume provide real-time applications extensive imagenet dataset including image classification accelerate development cycles yolo11 models extensive resources dataset structure section 14 million images pretrained model pretrained models usage deep learning training models md imagenet challenge computer vision
Payment Methods {📊}
- Braintree
Questions {❓}
- How can I use a pretrained YOLO model for image classification on the ImageNet dataset?
- How is the ImageNet dataset structured, and why is it important?
- What is the ImageNet dataset and how is it used in computer vision?
- What role does the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) play in computer vision?
- Why should I use the Ultralytics YOLO11 pretrained models for my ImageNet dataset projects?
External Links {🔗}(15)
- What are the earnings of https://github.blog?
- How much profit does https://www.image-net.org/ make?
- What's the total monthly financial gain of https://www.ultralytics.com/glossary/deep-learning-dl?
- Income figures for https://www.ultralytics.com/glossary/computer-vision-cv
- What's https://www.ultralytics.com/glossary/image-classification's gross income?
- https://www.ultralytics.com/glossary/object-detection income
- See how much https://image-net.org/challenges/LSVRC/ makes per month
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- Monthly income for https://arxiv.org/abs/1409.1556
- Get to know what's the income of https://arxiv.org/abs/1512.03385
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- How much does https://www.ultralytics.com/glossary/machine-learning-ml net monthly?
- How much does https://www.ultralytics.com/glossary/accuracy pull in monthly?
- Learn how profitable https://www.ultralytics.com/glossary/image-segmentation is on a monthly basis
- How much profit is https://www.githubstatus.com/ making per month?
Analytics and Tracking {📊}
- Site Verification - Google
Libraries {📚}
- Clipboard.js
- D3.js
- Lodash
Emails and Hosting {✉️}
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