151 datasets found

A benchmark for the evaluation of RGB-D SLAM systems.

The dataset is a vehicle routing problem with time windows benchmark. It provides a set of instances with different characteristics and a solution to the problem.

The CVRPLib is a library of instances for the Capacitated Vehicle Routing Problem (CVRP). It consolidates instances from various sources and provides a set of instances with...

The dataset is a vehicle routing problem benchmark tool for the mail delivery problem. It proposes instances for the VRP involving a real situation: the delivery of...

A large-scale benchmark for suction grasping.

The GOT-10K dataset is a large-scale benchmark for generic object tracking in the wild.

The TrackingNet dataset is a large-scale benchmark for object tracking in the wild.

The dataset used in the paper is the OpenLLM benchmark, which includes datasets such as ARC, HellaSwag, TruthfulQA, and MMLU.

A benchmark for vision-based grasping.

The ESP-GAME dataset is a benchmark for image annotation tasks.

The IAPRTC-12 dataset is a benchmark dataset for visual information systems. It contains 17495 images with 291 candidate classes.

The dataset used for the proposed TTSDS benchmark, which includes 35 TTS systems developed between 2008 and 2024.

A benchmark for optical flow estimation.

MTG is a multilingual multiway text generation benchmark suite. It is the first-proposed multilingual multiway text generation dataset with the largest human-annotated data...

The ISPRS 2D semantic labeling benchmark (Vaihingen) dataset is used for evaluating the proposed method.

LiveCodeBench is a benchmark for evaluating the performance of Large Language Models (LLMs) in code editing tasks, including debugging, translating, polishing, and requirement...

A benchmark for the comparison of 3D motion segmentation algorithms.

The BIG-Bench Hard dataset is derived from the original BIG-Bench evaluation suite, focusing on tasks that pose challenges to existing language models.

The dataset used for video object segmentation task, where a first frame labelled with the masks of several object instances, one aims to find the corresponding masks of objects...

The dataset used in the paper is the OpenAI Gym benchmark, which provides a set of environments for reinforcement learning.