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Participate in Reproducible Research
Detection
- PASCAL
VOC 2009 dataset
- Classification/Detection Competitions, Segmentation Competition, Person
Layout Taster Competition datasets
- LabelMe
dataset
- LabelMe is a web-based image annotation tool that allows researchers to
label images and share the annotations with the rest of the community. If you
use the database, we only ask that you contribute to it, from time to time, by
using the labeling tool.
- BioID Face
Detection Database
- 1521 images with human faces, recorded under natural conditions, i.e.
varying illumination and complex background. The eye positions have been set
manually.
- CMU/VASC &
PIE Face dataset
- Yale Face
dataset
- Caltech
- Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds
- Caltech
101
- Pictures of objects belonging to 101 categories
- Caltech
256
- Pictures of objects belonging to 256 categories
- Daimler
Pedestrian Detection Benchmark
- 15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744
additional full images not containing pedestrians for bootstrapping. The test
set contains more than 21,790 images with 56,492 pedestrian labels (fully
visible or partially occluded), captured from a vehicle in urban traffic.
- MIT
Pedestrian dataset
- CVC Pedestrian Datasets
- CVC
Pedestrian Datasets
- CBCL Pedestrian Database
- MIT Face
dataset
- CBCL Face Database
- MIT Car
dataset
- CBCL Car Database
- MIT Street
dataset
- CBCL Street Database
- INRIA Person Data
Set
- A large set of marked up images of standing or walking people
- INRIA car dataset
- A set of car and non-car images taken in a parking lot nearby INRIA
- INRIA horse dataset
- A set of horse and non-horse images
- H3D Dataset
- 3D skeletons and segmented regions for 1000 people in images
- HRI
RoadTraffic dataset
- A large-scale vehicle detection dataset
- BelgaLogos
- 10000 images of natural scenes, with 37 different logos, and 2695 logos
instances, annotated with a bounding box.
- FlickrBelgaLogos
- 10000 images of natural scenes grabbed on Flickr, with 2695 logos
instances cut and pasted from the BelgaLogos dataset.
- FlickrLogos-32
- The dataset FlickrLogos-32 contains photos depicting logos and is meant
for the evaluation of multi-class logo detection/recognition as well as logo
retrieval methods on real-world images. It consists of 8240 images downloaded
from Flickr.
- TME Motorway
Dataset
- 30000+ frames with vehicle rear annotation and classification (car and
trucks) on motorway/highway sequences. Annotation semi-automatically generated
using laser-scanner data. Distance estimation and consistent target ID over
time available.
- PHOS (Color
Image Database for illumination invariant feature selection)
- Phos is a color image database of 15 scenes captured under different
illumination conditions. More particularly, every scene of the database
contains 15 different images: 9 images captured under various strengths of
uniform illumination, and 6 images under different degrees of non-uniform
illumination. The images contain objects of different shape, color and texture
and can be used for illumination invariant feature detection and
selection.
- CaliforniaND:
An Annotated Dataset For Near-Duplicate Detection In Personal Photo
Collections
- California-ND contains 701 photos taken directly from a real user‘s
personal photo collection, including many challenging non-identical
near-duplicate cases, without the use of artificial image transformations. The
dataset is annotated by 10 different subjects, including the photographer,
regarding near duplicates.
- USPTO
Algorithm Challenge, Detecting Figures and Part Labels in Patents
- Contains drawing pages from US patents with manually labeled figure and
part labels.
- Abnormal
Objects Dataset
- Contains 6 object categories similar to object categories in Pascal VOC
that are suitable for studying the abnormalities stemming from
objects.
Classification
- PASCAL
VOC 2009 dataset
- Classification/Detection Competitions, Segmentation Competition, Person
Layout Taster Competition datasets
- Caltech
- Cars, Motorcycles, Airplanes, Faces, Leaves, Backgrounds
- Caltech
101
- Pictures of objects belonging to 101 categories
- Caltech
256
- Pictures of objects belonging to 256 categories
- ETHZ Shape
Classes
- A dataset for testing object class detection algorithms. It contains 255
test images and features five diverse shape-based classes (apple logos,
bottles, giraffes, mugs, and swans).
- Flower classification
data sets
- 17 Flower Category Dataset
- Animals with
attributes
- A dataset for Attribute Based Classification. It consists of 30475 images
of 50 animals classes with six pre-extracted feature representations for each
image.
- Stanford Dogs
Dataset
- Dataset of 20,580 images of 120 dog breeds with bounding-box annotation,
for fine-grained image categorization.
- Video
classification USAA dataset
- The USAA dataset includes 8 different semantic class videos which are home
videos of social occassions which feature activities of group of people. It
contains around 100 videos for training and testing respectively. Each video
is labeled by 69 attributes. The 69 attributes can be broken down into five
broad classes: actions, objects, scenes, sounds, and camera movement.
Recognition
- Face and Gesture
Recognition Working Group FGnet
- Face and Gesture Recognition Working Group FGnet
- Feret
- Face and Gesture Recognition Working Group FGnet
- PUT face
- 9971 images of 100 people
- Labeled Faces in the
Wild
- A database of face photographs designed for studying the problem of
unconstrained face recognition
- Urban
scene recognition
- Traffic Lights Recognition, Lara‘s public benchmarks.
- PubFig: Public
Figures Face Database
- The PubFig database is a large, real-world face dataset consisting of
58,797 images of 200 people collected from the internet. Unlike most other
existing face datasets, these images are taken in completely uncontrolled
situations with non-cooperative subjects.
- YouTube Faces
- The data set contains 3,425 videos of 1,595 different people. The shortest
clip duration is 48 frames, the longest clip is 6,070 frames, and the average
length of a video clip is 181.3 frames.
- MSRC-12:
Kinect gesture data set
- The Microsoft Research Cambridge-12 Kinect gesture data set consists of
sequences of human movements, represented as body-part locations, and the
associated gesture to be recognized by the system.
- QMUL
underGround Re-IDentification (GRID) Dataset
- This dataset contains 250 pedestrian image pairs + 775 additional images
captured in a busy underground station for the research on person
re-identification.
- Person
identification in TV series
- Face tracks, features and shot boundaries from our latest CVPR 2013 paper.
It is obtained from 6 episodes of Buffy the Vampire Slayer and 6 episodes of
Big Bang Theory.
- ChokePoint
Dataset
- ChokePoint is a video dataset designed for experiments in person
identification/verification under real-world surveillance conditions. The
dataset consists of 25 subjects (19 male and 6 female) in portal 1 and 29
subjects (23 male and 6 female) in portal 2.
- Hieroglyph
Dataset
- Ancient Egyptian Hieroglyph Dataset.
Tracking
- BIWI Walking Pedestrians
dataset
- Walking pedestrians in busy scenarios from a bird eye view
- "Central" Pedestrian
Crossing Sequences
- Three pedestrian crossing sequences
- Pedestrian Mobile Scene
Analysis
- The set was recorded in Zurich, using a pair of cameras mounted on a
mobile platform. It contains 12‘298 annotated pedestrians in roughly 2‘000
frames.
- Head
tracking
- BMP image sequences.
- KIT AIS Dataset
- Data sets for tracking vehicles and people in
aerial image sequences.
- MIT Traffic
Data Set
- MIT traffic data set is for research on activity analysis and crowded
scenes. It includes a traffic video sequence of 90 minutes long. It is
recorded by a stationary camera.
Segmentation
- Image
Segmentation with A Bounding Box Prior dataset
- Ground truth database of 50 images with: Data, Segmentation, Labelling -
Lasso, Labelling - Rectangle
- PASCAL
VOC 2009 dataset
- Classification/Detection Competitions, Segmentation Competition, Person
Layout Taster Competition datasets
- Motion Segmentation
and OBJCUT data
- Cows for object segmentation, Five video sequences for motion
segmentation
- Geometric
Context Dataset
- Geometric Context Dataset: pixel labels for seven geometric classes for
300 images
- Crowd
Segmentation Dataset
- This dataset contains videos of crowds and other high density moving
objects. The videos are collected mainly from the BBC Motion Gallery and Getty
Images website. The videos are shared only for the research purposes. Please
consult the terms and conditions of use of these videos from the respective
websites.
- CMU-Cornell
iCoseg Dataset
- Contains hand-labelled pixel annotations for 38 groups of images, each
group containing a common foreground. Approximately 17 images per group, 643
images total.
- Segmentation
evaluation database
- 200 gray level images along with ground truth segmentations
- The
Berkeley Segmentation Dataset and Benchmark
- Image segmentation and boundary detection. Grayscale and color
segmentations for 300 images, the images are divided into a training set of
200 images, and a test set of 100 images.
- Weizmann
horses
- 328 side-view color images of horses that were manually segmented. The
images were randomly collected from the WWW.
- Saliency-based
video segmentation with sequentially updated priors
- 10 videos as inputs, and segmented image sequences as ground-truth
Foreground/Background
- Wallflower
Dataset
- For evaluating background modelling algorithms
- Foreground/Background
Microsoft Cambridge Dataset
- Foreground/Background segmentation and Stereo dataset from Microsoft
Cambridge
- Stuttgart
Artificial Background Subtraction Dataset
- The SABS (Stuttgart Artificial Background Subtraction) dataset is an
artificial dataset for pixel-wise evaluation of background models.
Saliency Detection (source)
- AIM
- 120 Images / 20 Observers (Neil D. B. Bruce and John K. Tsotsos
2005).
- LeMeur
- 27 Images / 40 Observers (O. Le Meur, P. Le Callet, D. Barba and D.
Thoreau 2006).
- Kootstra
- 100 Images / 31 Observers (Kootstra, G., Nederveen, A. and de Boer, B.
2008).
- DOVES
- 101 Images / 29 Observers (van der Linde, I., Rajashekar, U., Bovik, A.C.,
Cormack, L.K. 2009).
- Ehinger
- 912 Images / 14 Observers (Krista A. Ehinger, Barbara Hidalgo-Sotelo,
Antonio Torralba and Aude Oliva 2009).
- NUSEF
- 758 Images / 75 Observers (R. Subramanian, H. Katti, N. Sebe1, M.
Kankanhalli and T-S. Chua 2010).
- JianLi
- 235 Images / 19 Observers (Jian Li, Martin D. Levine, Xiangjing An and
Hangen He 2011).
- Extended
Complex Scene Saliency Dataset (ECSSD)
- ECSSD contains 1000 natural images with complex foreground or background.
For each image, the ground truth mask of salient object(s) is
provided.
Video Surveillance
- CAVIAR
- For the CAVIAR project a number of video clips were recorded acting out
the different scenarios of interest. These include people walking alone,
meeting with others, window shopping, entering and exitting shops, fighting
and passing out and last, but not least, leaving a package in a public
place.
- ViSOR
- ViSOR contains a large set of multimedia data and the corresponding
annotations.
Multiview
- 3D Photography
Dataset
- Multiview stereo data sets: a set of images
- Multi-view Visual
Geometry group‘s data set
- Dinosaur, Model House, Corridor, Aerial views, Valbonne Church, Raglan
Castle, Kapel sequence
- Oxford reconstruction
data set (building reconstruction)
- Oxford colleges
- Multi-View Stereo
dataset (Vision Middlebury)
- Temple, Dino
- Multi-View
Stereo for Community Photo Collections
- Venus de Milo, Duomo in Pisa, Notre Dame de Paris
- IS-3D
Data
- Dataset provided by Center for Machine Perception
- CVLab
dataset
- CVLab dense multi-view stereo image database
- 3D
Objects on Turntable
- Objects viewed from 144 calibrated viewpoints under 3 different lighting
conditions
- Object
Recognition in Probabilistic 3D Scenes
- Images from 19 sites collected from a helicopter flying around Providence,
RI. USA. The imagery contains approximately a full circle around each
site.
- Multiple cameras
fall dataset
- 24 scenarios recorded with 8 IP video cameras. The first 22 first
scenarios contain a fall and confounding events, the last 2 ones contain only
confounding events.
- CMP Extreme View Dataset
- 15 wide baseline stereo image pairs with large viewpoint change, provided
ground truth homographies.
Action
- UCF
Sports Action Dataset
- This dataset consists of a set of actions collected from various sports
which are typically featured on broadcast television channels such as the BBC
and ESPN. The video sequences were obtained from a wide range of stock footage
websites including BBC Motion gallery, and GettyImages.
- UCF Aerial
Action Dataset
- This dataset features video sequences that were obtained using a
R/C-controlled blimp equipped with an HD camera mounted on a gimbal.The
collection represents a diverse pool of actions featured at different heights
and aerial viewpoints. Multiple instances of each action were recorded at
different flying altitudes which ranged from 400-450 feet and were performed
by different actors.
- UCF
YouTube Action Dataset
- It contains 11 action categories collected from YouTube.
- Weizmann
action recognition
- Walk, Run, Jump, Gallop sideways, Bend, One-hand wave, Two-hands wave,
Jump in place, Jumping Jack, Skip.
- UCF50
- UCF50 is an action recognition dataset with 50 action categories,
consisting of realistic videos taken from YouTube.
- ASLAN
- The Action Similarity Labeling (ASLAN) Challenge.
- MSR
Action Recognition Datasets
- The dataset was captured by a Kinect device. There are 12 dynamic American
Sign Language (ASL) gestures, and 10 people. Each person performs each gesture
2-3 times.
- KTH Recognition of human
actions
- Contains six types of human actions (walking, jogging, running, boxing,
hand waving and hand clapping) performed several times by 25 subjects in four
different scenarios: outdoors, outdoors with scale variation, outdoors with
different clothes and indoors.
- Hollywood-2 Human
Actions and Scenes dataset
- Hollywood-2 datset contains 12 classes of human actions and 10 classes of
scenes distributed over 3669 video clips and approximately 20.1 hours of video
in total.
- Collective
Activity Dataset
- This dataset contains 5 different collective activities : crossing,
walking, waiting, talking, and queueing and 44 short video sequences some of
which were recorded by consumer hand-held digital camera with varying view
point.
- Olympic
Sports Dataset
- The Olympic Sports Dataset contains YouTube videos of athletes practicing
different sports.
- SDHA 2010
- Surveillance-type videos
- VIRAT Video Dataset
- The dataset is designed to be realistic, natural and challenging for video
surveillance domains in terms of its resolution, background clutter, diversity
in scenes, and human activity/event categories than existing action
recognition datasets.
- HMDB: A Large
Video Database for Human Motion Recognition
- Collected from various sources, mostly from movies, and a small proportion
from public databases, YouTube and Google videos. The dataset contains 6849
clips divided into 51 action categories, each containing a minimum of 101
clips.
- Stanford 40
Actions Dataset
- Dataset of 9,532 images of humans performing 40 different actions,
annotated with bounding-boxes.
- 50Salads
dataset
- Fully annotated dataset of RGB-D video data and data from accelerometers
attached to kitchen objects capturing 25 people preparing two mixed salads
each (4.5h of annotated data). Annotated activities correspond to steps in the
recipe and include phase (pre-/ core-/ post) and the ingredient acted
upon.
- Penn
Sports Action
- The dataset contains 2326 video sequences of 15 different sport actions
and human body joint annotations for all sequences.
Human pose/Expression
- AFEW (Acted Facial Expressions In The
Wild)/SFEW (Static Facial Expressions In The Wild)
- Dynamic temporal facial expressions data corpus consisting of close to
real world environment extracted from movies.
- ETHZ CALVIN
Dataset
Image stitching
- IPM Vision Group
Image Stitching datasets
- Images and parameters for registeration
Medical
- VIP Laparoscopic / Endoscopic
Dataset
- Collection of endoscopic and laparoscopic (mono/stereo) videos and
images
Misc
- Zurich Buildings
Database
- ZuBuD Image Database contains over 1005 images about Zurich city
building.
- Color Name
Data Sets
- Mall
dataset
- The mall dataset was collected from a publicly accessible webcam for crowd
counting and activity profiling research.
- QMUL
Junction Dataset
- A busy traffic dataset for research on activity analysis and behaviour
understanding.
[转] CV Datasets on the web,布布扣,bubuko.com
[转] CV Datasets on the web
原文:http://www.cnblogs.com/beanocean/p/3670976.html