ULTRALYTICS . COM {
}
Detected CMS Systems:
- Webflow (50 occurrences)
Title:
Accuracy: Machine Learning Metric | Ultralytics
Description:
Discover the importance of accuracy in machine learning, its calculation, limitations with imbalanced datasets, and ways to improve model performance.
Website Age:
11 years and 4 months (reg. 2014-02-13).
Matching Content Categories {📚}
- Careers
- Education
- Technology & Computing
Content Management System {📝}
What CMS is ultralytics.com built with?
Ultralytics.com is powered by WEBFLOW.
Traffic Estimate {📈}
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🌟 Strong Traffic: 100k - 200k visitors per month
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Subscription Packages {💳}
We've located a dedicated page on ultralytics.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 Ultralytics.com Make? {💰}
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There is a page that might contain some info about subscription plans. We identified it based on the word pricing. However the prices are either not there or they are generated dynamically, which is a method that we do not support.
Keywords {🔍}
accuracy, model, performance, metrics, false, ultralytics, models, data, yolo, recall, high, learning, positives, negatives, precision, datasets, correct, predictions, true, training, machine, limitations, imbalanced, classification, vision, specific, detection, cost, positive, read, solutions, resources, importance, improve, computer, proportion, number, object, actual, errors, map, metric, rate, hub, min, jul, join, pricing, glossary, licensing,
Topics {✒️}
ultralytics hub real-world scenarios ultralytics yolo general sense yolo performance metrics popular starting point class significantly outnumbers bounding box prediction choosing advanced architectures provide practical guidance service privacy policy potential dataset bias hyperparameter tuning guide single metric values ultralytics glossary models pre-trained assessing model performance specific problem requirements ignoring error types varying error costs involving trade-offs provide deeper insights highlight accuracy benchmarks showing true positives true positive rate model performance tailored model training tips missing actual tumors improving model accuracy false positive rate improve model performance object detection models improve model accuracy correct predictions made computer vision automotive solutions consulting resources ml task data augmentation keeping track varying costs ai model hyperparameter tuning learning rate articles join false positive object detection true positives predictions made applications
Questions {❓}
- What is synthetic data in computer vision?
Schema {🗺️}
Article:
context:https://schema.org
headline:Accuracy - Discover the importance of accuracy in machine learning, its calculation, limitations with imbalanced datasets, and ways to improve model performance.
image:
datePublished:Jun 14, 2025T08:00:00+08:00
dateModified:Jun 14, 2025T09:00:00+08:00
author:
type:Organization
name:Ultralytics
url:https://www.ultralytics.com/authors/ultralytics-team
Organization:
name:Ultralytics
url:https://www.ultralytics.com/authors/ultralytics-team
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Analytics and Tracking {📊}
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Libraries {📚}
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Emails and Hosting {✉️}
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