the largest driving video dataset to date supporting heterogenous multi-task learning.

The main goal of this challenge is to recognize objects from a number of visual object classes in realistic scenes.

This dataset provides animal pose annotations on five categories are provided: dog, cat, cow, horse, sheep, with in total 6,000 instances in 4,000 images.

The nuScenes dataset is a large-scale autonomous driving dataset with 3d object annotations.

KITTI-object consists of 7481 training point clouds (and images) and 7518 testing point clouds (and images).

DeepRoute Open Dataset is a dataset for the training of level 4 self-driving algorithms.

The dataset consists of 113k multiple choice questions about grounded situations.

The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups.

THUCTC is a Chinese text classification toolkit launched by the Natural Language Processing Laboratory of Tsinghua University.

Bosch Small Traffic Lights Dataset, an accurate dataset for vision-based traffic light detection.

SVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting.

CompCars dataset contains data from two scenarios, including images from web-nature and surveillance-nature.