ki-datatooling.de bewertung und analyse
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| Title | KI DataTooling: KI Data |
| Description | KI DataTooling Project Technology Publications News DE EN Deutsch English KI Data Tooling The Data Kit for Automotive AI Methods and tools for the generat |
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ki-datatooling.de bewertung
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Euro€2,204
Zuletzt aktualisiert: 2022-06-08 17:48:26
ki-datatooling.de hat Semrush globalen Rang von 13,044,359. ki-datatooling.de hat einen geschätzten Wert von € 2,204, basierend auf seinen geschätzten Werbeeinnahmen. ki-datatooling.de empfängt jeden Tag ungefähr 551 einzelne Besucher. Sein Webserver befindet sich in - mit der IP-Adresse 185.237.66.67. Laut SiteAdvisor ist ki-datatooling.de sicher zu besuchen. |
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| Kauf-/Verkaufswert | Euro€2,204 |
| Tägliche Werbeeinnahmen | Euro€60,610 |
| Monatlicher Anzeigenumsatz | Euro€20,387 |
| Jährliche Werbeeinnahmen | Euro€1,653 |
| Tägliche eindeutige Besucher | 551 |
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| ki-datatooling.de. | A | 3600 | IP: 185.237.66.67 |
| ki-datatooling.de. | NS | 3600 | NS Record: ns16.domaincontrol.com. |
| ki-datatooling.de. | NS | 3600 | NS Record: ns15.domaincontrol.com. |
| ki-datatooling.de. | MX | 3600 | MX Record: 100 mxlb.ispgateway.de. |
HtmlToTextCheckTime:2022-06-08 17:48:26
| KI DataTooling Project Technology Publications News DE EN Deutsch English KI Data Tooling The Data Kit for Automotive AI Methods and tools for the generation and preparation of training, validation and safeguarding data for AI functions in autonomous vehicles. The basis for a successful application of AI-based functions in vehicles is a comprehensive database for different driving situations and different sensor modalities (camera, radar, lidar). Only with such a database it is possible to successfully train and validate AI functions. Providing this kind of data comes with numerous challenges. The research project AI Data Tooling will develop and investigate for the first time holistic tools and methods for providing data of different sensor modalities for AI-based functions. The aim is to develop a complete data solution for the training and validation of AI-based automated driving functions by the integrated consideration of real data, synthetically generated data and augmented data |
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