ultralytics 8.0.149 add Open Images V7 training (#4178)
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: AdiEcho <30563671+AdiEcho@users.noreply.github.com>
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@ -8,6 +8,11 @@ keywords: Argoverse dataset, autonomous driving, YOLO, 3D tracking, motion forec
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The [Argoverse](https://www.argoverse.org/) dataset is a collection of data designed to support research in autonomous driving tasks, such as 3D tracking, motion forecasting, and stereo depth estimation. Developed by Argo AI, the dataset provides a wide range of high-quality sensor data, including high-resolution images, LiDAR point clouds, and map data.
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!!! note
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The Argoverse dataset *.zip file required for training was removed from Amazon S3 after the shutdown of Argo AI by Ford, but we have made it available for manual download on [Google Drive](https://drive.google.com/file/d/1st9qW3BeIwQsnR0t8mRpvbsSWIo16ACi/view?usp=drive_link).
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## Key Features
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- Argoverse contains over 290K labeled 3D object tracks and 5 million object instances across 1,263 distinct scenes.
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