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Title | DeepLabCut — The Mathis Lab of Adaptive Motor |
Description | Learn DeepLabCut™ is an efficient method for 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 |
Keywords | N/A |
WebSite | deeplabcut.org |
Host IP | 216.239.34.21 |
Location | United States |
Site | Rank |
US$823,632
Last updated: 2023-05-11 22:55:20
deeplabcut.org has Semrush global rank of 12,850,778. deeplabcut.org has an estimated worth of US$ 823,632, based on its estimated Ads revenue. deeplabcut.org receives approximately 95,035 unique visitors each day. Its web server is located in United States, with IP address 216.239.34.21. According to SiteAdvisor, deeplabcut.org is safe to visit. |
Purchase/Sale Value | US$823,632 |
Daily Ads Revenue | US$761 |
Monthly Ads Revenue | US$22,809 |
Yearly Ads Revenue | US$273,700 |
Daily Unique Visitors | 6,336 |
Note: All traffic and earnings values are estimates. |
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deeplabcut.org. | A | 3599 | IP: 216.239.38.21 |
deeplabcut.org. | A | 3599 | IP: 216.239.32.21 |
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Home Research Areas News People Publications Preprints Funding Software CEBRA DeepLabCut Home Research Areas News People Publications Preprints Funding Software CEBRA DeepLabCut The Mathis Lab @ EPFL View fullsize View fullsize View fullsize View fullsize Where do you start? The code is freely available and easy to install in a few clicks with Anaconda (and pypi). Please see instructions here . We also provide a very easy to use GUI interface , and a step-by-step user guide ! DeepLabCut™ is an efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results (i.e. you can match human labeling accuracy) with minimal training data (typically 50-200 frames). We demonstrate the versatility of this framework by tracking various body parts in multiple species across a broad collection of behaviors. The package is open source, fast, robust, and can be used to compute 3D pose estimates or for multi-animals . Please |
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