Published September 8, 2021 | Version v1
Dataset Open

Generated RGBD Tracking Benchmarks (LaSOT) Part 09

Authors/Creators

  • 1. Tampere University

Description

We convert the existing RGB tracking benchmarks, eg. LaSOT, to RGB+pseudo-Depth tracking benchmarks using DenseDepth or HighResDepth monocular depth estimation methods.

Files

racing-DenseDepth.zip

Files (48.3 GB)

Name Size Download all
md5:9346b72feba2fd65da33966bc29aa771
2.6 GB Preview Download
md5:ba87065b0f6740df425ed31267c37a03
4.2 GB Preview Download
md5:e04f92718861cce2e35a23c81d36097f
4.9 GB Preview Download
md5:5d113b8586042aa57191f32cead7de27
8.4 GB Preview Download
md5:ca4637eabde5a2589c0ff969ff1e453d
5.1 GB Preview Download
md5:90a6274b5176c83360403bae17988c81
5.0 GB Preview Download
md5:03e6d99871ea5fc16a1e47a3a0efbb7d
5.3 GB Preview Download
md5:86e55587e6951ae110c4cd13f12f64ca
2.2 GB Preview Download
md5:10b1e9075dccb1f1f6c4b91caf1903df
3.8 GB Preview Download
md5:48709ed619fbf704eb6e852f1b056f5a
3.0 GB Preview Download
md5:250030ee62c32814682f85586ca6605f
3.7 GB Preview Download