</> Code with Papers by Syntology

Home › Datasets › task › Self-Driving Cars

Self-Driving Cars datasets

archive 2025-07-28

16 datasets carry the task tag "Self-Driving Cars" (the task itself: Self-Driving Cars), ordered by the archive's paper count. Page 1 of 1: 16 shown of 16. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Self-Driving Cars 16

Self-Driving Cars datasets 1–16 of 16

DDAD (Dense Depth for Autonomous Driving)
DDAD is a new autonomous driving benchmark from TRI (Toyota Research Institute) for long range (up to 250m) and dense depth estimation in challenging and diverse urban conditions.
ImagesVideosDepth EstimationMonocular Depth EstimationSelf-Driving Cars
73 papers · 1 benchmark
Lost and Found
Lost and Found is a novel lost-cargo image sequence dataset comprising more than two thousand frames with pixelwise annotations of obstacle and free-space and provide a thorough comparison to several stereo-based baseline methods.
Semantic SegmentationAnomaly DetectionAutonomous DrivingSelf-Driving Cars
57 papers · 1 benchmark
Shifts
The Shifts Dataset is a dataset for evaluation of uncertainty estimates and robustness to distributional shift.
TextsTime seriesMachine TranslationWeather ForecastingSelf-Driving Cars
55 papers · 1 benchmark
BDD-X (Berkeley Deep Drive-X (eXplanation))
Berkeley Deep Drive-X (eXplanation) is a dataset is composed of over 77 hours of driving within 6,970 videos.
Autonomous DrivingExplainable artificial intelligenceSelf-Driving CarsBehavioural cloning
47 papers · 0 benchmarks
Talk2Car
The Talk2Car dataset finds itself at the intersection of various research domains, promoting the development of cross-disciplinary solutions for improving the state-of-the-art in grounding natural language into visual space.
ImagesAutonomous VehiclesAutonomous DrivingReferring Expression ComprehensionSelf-Driving Cars
45 papers · 0 benchmarks
Argoverse 2 Motion Forecasting
The Argoverse 2 Motion Forecasting Dataset is a curated collection of 250,000 scenarios for training and validation.
GraphsTime seriesAutonomous VehiclesTrajectory PredictionAutonomous DrivingMotion Forecasting3D Object TrackingSelf-Driving Cars+1 tasks
39 papers · 0 benchmarks
SOD (small obstacle detection)
Aiming Detect small obstacles, like lost and found.
Object DetectionRGB Salient Object DetectionSalient Object DetectionSelf-Driving Cars
8 papers · 2 benchmarks
ELAS
ELAS is a dataset for lane detection.
ImagesLane DetectionAutonomous DrivingSelf-Driving Cars
5 papers · 0 benchmarks
HPD (Head-Pose Detection)
These images were generated using Blender and IEE-Simulator with different head-poses, where the images are labelled according to nine classes (straight, turned bottom-left, turned left, turned top-left, turned bottom-right, turned right,…
Head Pose EstimationSelf-Driving CarsDriver Attention Monitoring
4 papers · 0 benchmarks
OC (Drowsiness-Detection)
These images were generated using UnityEyes simulator, after including essential eyeball physiology elements and modeling binocular vision dynamics.
Citation RecommendationSelf-Driving CarsDriver Attention Monitoring
4 papers · 0 benchmarks
GD (Gaze-Detection)
These images were generated using UnityEyes simulator, after including essential eyeball physiology elements and modeling binocular vision dynamics.
Gaze EstimationSelf-Driving CarsDriver Attention Monitoring
3 papers · 0 benchmarks
FRSign
A large-scale and accurate dataset for vision-based railway traffic light detection and recognition.The recordings were made on selected running trains in France and benefited from carefully hand-labeled annotations.
ImagesSelf-Driving Cars
2 papers · 0 benchmarks
Large Car-following Dataset Based on Lyft level-5: Following Autonomous Vehicles vs. Human-driven Vehicles
Studying how human drivers react differently when following autonomous vehicles (AV) vs.
Time seriesSelf-Driving CarsHuman Behavior Forecasting
1 paper · 0 benchmarks
SESIV (SEmantic Salient Instance Video)
SEmantic Salient Instance Video (SESIV) dataset is obtained by augmenting the DAVIS-2017 benchmark dataset by assigning semantic ground-truth for salient instance labels.
ImagesInstance SegmentationRobot NavigationSelf-Driving Cars
1 paper · 0 benchmarks
Hyper Drive (Hyperspectral Driving Dataset)
Towards automated analysis of large environments, hyperspectral sensors must be adapted into a format where they can be operated from mobile robots.
ImagesHyperspectral imagesAutonomous VehiclesAutonomous DrivingHyperspectral Image SegmentationHyperspectral Image ClassificationRobot NavigationHyperspectral Image Denoising+5 tasks
0 papers · 0 benchmarks
TUT Sound Events 2018
The TUT Sounds Event 2018 dataset consists of real-life first order Ambisonic (FOA) format recordings with stationary point sources each associated with a spatial coordinate.
AudioAcoustic Scene ClassificationSound Event DetectionSelf-Driving Cars
0 papers · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.