Projects sharing features with Racetrack Database

Waymo Open Dataset

A procedural Blender pipeline for photorealistic training image generation

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Official GitHub repository for Argoverse dataset

This repository contains utility scripts for the KITTI-360 dataset.

The ApolloScape Open Dataset for Autonomous Driving and its Application.

HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures

This is the evaluation data and Large Language Models (LLMs) results from our CIKM'23 paper:

This repo presents OpenP5, an open-source platform for LLM-based Recommendation development, finetuning, and evaluation.

CBLUE1 中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

PyTorch implementation for WSDM 2024 paper LLMRec: Large Language Models with Graph Augmentation for Recommendation.

Mapping and localization is a critical module of autonomous driving, and significant achievements have been reached in this field. Beyond Global Navigation Satellite System (GNSS), research in point cloud registration, visual feature matching, and inertia navigation has greatly enhanced the…

Quick Links: 🗃️Dataset | 📭Citation | 🛠️Code | 🚀Baseline Evaluation | 🤗Video Understanding Meets Recommender Systems | 💡News

Feel free to contact us if you have questions regarding the database: yuanfajie@westlake.edu.cn

Quick Links: 🗃️Dataset | 🛠️Experiments | 👀Others | 📭Citation | 💡News

LLMRec, a LLM-based recommender system designed for benchmarking LLMs on various recommendation tasks. Specifically, we construct a set of well-designed templates to first transform the recommendation data into textual prompts and then benchmark several popular LLMs on five recommendation tasks,…

LanceDB is a vector database and columnar data store designed to function as a versioned dataset manager and vector search engine. It serves as a high-performance backend for indexing and retrieving high-dimensional embeddings, providing the foundation for machine learning data pipelines. The system distinguishes itself through a combination of cloud-native object storage and immutable version tracking, allowing for data time-travel and reproducible AI experiments. It integrates hybrid search capabilities, merging dense vector similarity with BM25 full-text search and SQL-like scalar filters