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Optical Flow Estimation datasets
archive 2025-07-2835 datasets carry the task tag "Optical Flow Estimation" (the task itself: Optical Flow Estimation), ordered by the archive's paper count. Page 1 of 1: 35 shown of 35. 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 52Optical Flow Estimation 35
Optical Flow Estimation datasets 1–35 of 35
KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving.
3,661 papers · 137 benchmarks
FlyingThings3D is a synthetic dataset for optical flow, disparity and scene flow estimation.
226 papers · 0 benchmarks
The Vimeo-90K is a large-scale high-quality video dataset for lower-level video processing.
220 papers · 3 benchmarks
MPI (Max Planck Institute) Sintel is a dataset for optical flow evaluation that has 1064 synthesized stereo images and ground truth data for disparity.
198 papers · 5 benchmarks
The MegaDepth dataset is a dataset for single-view depth prediction that includes 196 different locations reconstructed from COLMAP SfM/MVS.
152 papers · 0 benchmarks
Virtual KITTI is a photo-realistic synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic…
133 papers · 0 benchmarks
VisDrone is a large-scale benchmark with carefully annotated ground-truth for various important computer vision tasks, to make vision meet drones.
73 papers · 1 benchmark
A large real-world event-based dataset for object classification.
56 papers · 2 benchmarks
The Event-Camera Dataset is a collection of datasets with an event-based camera for high-speed robotics.
51 papers · 2 benchmarks
Spring (Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo)
Spring is a large, high-resolution and high-detail, computer-generated benchmark for scene flow, optical flow, and stereo.
29 papers · 3 benchmarks
MVSEC (Multi Vehicle Stereo Event Camera)
The Multi Vehicle Stereo Event Camera (MVSEC) dataset is a collection of data designed for the development of novel 3D perception algorithms for event based cameras.
28 papers · 2 benchmarks
DSEC (A Stereo Event Camera Dataset for Driving Scenarios)
DSEC is a stereo camera dataset in driving scenarios that contains data from two monochrome event cameras and two global shutter color cameras in favorable and challenging illumination conditions.
23 papers · 2 benchmarks
Provides a wide range of raw sensor data that is accessible on almost any modern-day smartphone together with a high-quality ground-truth track.
13 papers · 0 benchmarks
SynWoodScape (Synthetic Surround-view Fisheye Camera Dataset for Autonomous Driving)
SynWoodScape is a synthetic version of the surround-view dataset covering many of its weaknesses and extending it.
13 papers · 0 benchmarks
YUP++ (YUP++ Dynamic Scenes dataset)
A new and challenging video database of dynamic scenes that more than doubles the size of those previously available.
13 papers · 1 benchmark
SlowFlow is an optical flow dataset collected by applying Slow Flow technique on data from a high-speed camera and analyzing the performance of the state-of-the-art in optical flow under various levels of motion blur.
10 papers · 0 benchmarks
The Blackbird unmanned aerial vehicle (UAV) dataset is a large-scale, aggressive indoor flight dataset collected using a custom-built quadrotor platform for use in evaluation of agile perception.
9 papers · 0 benchmarks
TUM-GAID (TUM Gait from Audio, Image and Depth) collects 305 subjects performing two walking trajectories in an indoor environment.
9 papers · 0 benchmarks
The SAMM Long Videos dataset consists of 147 long videos with 343 macro-expressions and 159 micro-expressions.
8 papers · 0 benchmarks
A large-scale synthetic dataset with 2.5 Million photo-realistic images of 80 subjects performing 70 activities and wearing diverse outfits.
6 papers · 0 benchmarks
OmniFlow is a synthetic omnidirectional human optical flow dataset.
6 papers · 0 benchmarks
GOF (Gyroscope Optical Flow)
Optical Flow in challenging scenes with gyroscope readings!
5 papers · 0 benchmarks
CrowdFlow (TUB CrowdFlow)
The TUB CrowdFlow is a synthetic dataset that contains 10 sequences showing 5 scenes.
4 papers · 0 benchmarks
EDEN (Enclosed garDEN) is a multimodal synthetic dataset, a dataset for nature-oriented applications.
4 papers · 0 benchmarks
QUVA Repetition dataset consists of 100 videos displaying a wide variety of repetitive video dynamics, including swimming, stirring, cutting, combing and music-making.
4 papers · 0 benchmarks
A large collection of interaction-rich video data which are annotated and analyzed.
4 papers · 0 benchmarks
3 papers · 0 benchmarks
RobotPush is a dataset for object singulation – the task of separating cluttered objects through physical interaction.
3 papers · 0 benchmarks
SpaceNet MVOI (SpaceNet Multi-View Overhead Imagery Dataset)
An open source Multi-View Overhead Imagery dataset with 27 unique looks from a broad range of viewing angles (-32.5 degrees to 54.0 degrees).
3 papers · 0 benchmarks
Two datasets (synthetic and natural/real) containing simultaneously recorded egocentric and exocentric videos.
3 papers · 0 benchmarks
VBR (VBR: A Vision Benchmark in Rome)
This dataset presents a vision and perception research dataset collected in Rome, featuring RGB data, 3D point clouds, IMU, and GPS data.
3 papers · 0 benchmarks
Includes 3000 animated sequences rendered using styles randomly selected from 40 textured line styles and 38 shading styles, spanning the range between flat cartoon fill and wildly sketchy shading.
2 papers · 0 benchmarks
I2-2000FPS is the first high-speed video dataset offering an unprecedented temporal resolution of 2000 frames per second (fps).
2 papers · 0 benchmarks
CloudCast (CloudCast: A Satellite-Based Dataset and Baseline for Forecasting Clouds)
A satellite-based dataset called "CloudCast".
1 paper · 0 benchmarks
We use Kubric and ESIM simulator to make our EKubric dataset, which has 15,367 RGB-PointCloud-Event pairs with annotations (including optical flow, scene flow, surface normal, semantic segmentation and object coordinates ground truths).
1 paper · 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.