13.4.6 Object Recognition, Retrieval Datasets

Chapter Contents (Back)
Evaluation, Recognition. Dataset, Objects. Dataset, Retrieval. See also Visual Question Answering, Query, VQA.

The PASCAL Object Recognition Database Collection,
2006. Dataset, Objects.
HTML Version. Various datasets for object recognition. Pointers to some of the others.

MSR VTT Dataset,
A Large Video Description Dataset for Bridging Video and Language. WWW Link.
Dataset, Visual Question Answering.

Video Objects: A Test Database for Video Object Recognition,
2006. Dataset, Objects.
HTML Version. 180 videos of 15 objects.

Animals with Attributes: A dataset for Attribute Based Classification,
2006. Dataset, Objects.
WWW Link. 30,000+ images, 40 animal classes.

Image Net,
WWW Link. Dataset, Objects. Large set of images (or sets of datasets) for recognition. Related to ImageNet Challanges for recognition. 14Million+ images. Links to Stanford See also Stanford University, Computer Science Departent. and Princeton. See also Princeton.

Washington Ground Truth Image Database,
CBIR dataset. Online2004
WWW Link. Dataset. Dataset, Retrieval. BibRef 0400

LHI Object Datasets,
Includes hand segmentations, and annotations. Online2004
HTML Version. Dataset. Dataset, Object Recognition. Transportation images, Animals, Aerial Images, Objects, Dataset also includes other data. See also Lotus Hill Institute. BibRef 0400

NEC Animal Dataset,
WWW Link. Dataset. Dataset, Object Recognition. It consists of about 5000 high quality images from 60 toy animals taken at different poses against a plain background. BibRef 0900

WWW Link. Dataset, Object Recognition. Photo search for professional use. Searches stock databases, you then purchase the image for use. Part of CogniSign LLC. BibRef 0700

Geusebroek, J.M.[Jan-Mark], Burghouts, G.J.[Gertjan J.], Smeulders, A.W.M.[Arnold W.M.],
The Amsterdam Library of Object Images,
IJCV(61), No. 1, January 2005, pp. 103-112.
DOI Link 0410

WWW Link. Dataset, Objects. 1000 objects over 100 images per object. BibRef

Torralba, A.B.[Antonio B.], Fergus, R.[Rob], Freeman, W.T.[William T.],
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition,
PAMI(30), No. 11, November 2008, pp. 1958-1970.
WWW Link. 0809
And: CSAIL-TR-2007-024, 2007. Dataset, Retrieval. Images from the WWW, associated with a noun. Large comprehensive dataset. Dataset with segmentations. BibRef

Gong, Y.C.[Yun-Chao], Pawlowski, M.[Marcin], Yang, F.[Fei], Brandy, L.[Louis], Boundev, L.[Lubomir], Fergus, R.[Rob],
Web scale photo hash clustering on a single machine,

Russell, B.[Bryan], Torralba, A.B.[Antonio B.], Freeman, W.T.[William T.],
LableMe: The Open Annotation Tool,
WWW Link. 1108
Dataset, Retrieval. Code, Annotation. The site for the annotation tool, also the video version. BibRef

Zhou, B.[Bolei], Lapedriza, A.[Agata], Khosla, A.[Aditya], Oliva, A.[Aude], Torralba, A.B.[Antonio B.],
Places: A 10 Million Image Database for Scene Recognition,
PAMI(40), No. 6, June 2018, pp. 1452-1464.
Dataset, Retrieval. Context, Databases, Image recognition, Semantics, Sun, Training, Visualization, Scene classification, deep feature, deep learning, visual recognition BibRef

Escalante, H.J.[Hugo Jair], Hernandez, C.A.[Carlos A.], Gonzalez, J.A.[Jesus A.], Lopez-Lopez, A., Montes-y-Gomez, M.[Manuel], Morales, E.F.[Eduardo F.], Sucar, L.E.[L. Enrique], Villasenor, L.[Luis], Grubinger, M.[Michael],
The segmented and annotated IAPR TC-12 benchmark,
CVIU(114), No. 4, April 2010, pp. 419-428.
Elsevier DOI 1003
Dataset, Retrieval. Data set creation; Ground truth collection; Evaluation metrics; Automatic image annotation; Image retrieval BibRef

Russakovsky, O.[Olga], Deng, J.[Jia], Su, H.[Hao], Krause, J.[Jonathan], Satheesh, S.[Sanjeev], Ma, S.[Sean], Huang, Z.H.[Zhi-Heng], Karpathy, A.[Andrej], Khosla, A.[Aditya], Bernstein, M.[Michael], Berg, A.C.[Alexander C.], Fei-Fei, L.[Li],
ImageNet Large Scale Visual Recognition Challenge,
IJCV(115), No. 3, December 2015, pp. 211-252.
Springer DOI 1512
Dataset, Object Category. Object category classification and detection on hundreds of object categories and millions of images. BibRef

Loh, Y.P.[Yuen Peng], Chan, C.S.[Chee Seng],
Getting to know low-light images with the Exclusively Dark dataset,
CVIU(178), 2019, pp. 30-42.
Elsevier DOI 1812
Dataset, Low Light. BibRef

Rosu, R.A.[Radu Alexandru], Quenzel, J.[Jan], Behnke, S.[Sven],
Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes,
IJCV(128), No. 5, May 2020, pp. 1220-1238.
Springer DOI 2005

Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., Stachniss, C., Gall, J.,
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,
Dataset, LiDAR. distance measurement, image segmentation, optical radar, stereo image processing, LiDAR sequences, Lasers BibRef

Wang, X., Wu, J., Chen, J., Li, L., Wang, Y., Wang, W.Y.,
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research,
language translation, linguistics, natural language processing, video signal processing, unified multilingual model, Social network services BibRef

Gu, S., Lugmayr, A., Danelljan, M., Fritsche, M., Lamour, J., Timofte, R.,
DIV8K: DIVerse 8K Resolution Image Dataset,
Dataset, High Resolution. convolutional neural nets, image resolution, learning (artificial intelligence), CNN, image processing BibRef

Mauceri, C.[Cecilia], Palmer, M.[Martha], Heckman, C.[Christoffer],
SUN-Spot: An RGB-D Dataset With Spatial Referring Expressions,
Dataset, Recognition. image colour analysis, object detection, SLAM (robots), spatial referring expressions, SUN-Spot, objects localization, multimodal BibRef

Sųlund, T.[Thomas], Buch, A.G.[Anders Glent], Krüger, N.[Norbert], Aanęs, H.[Henrik],
A Large-Scale 3D Object Recognition Dataset,
Dataset, Object Recognition.
WWW Link. object recognition BibRef

Hua, B.S.[Binh-Son], Pham, Q.H.[Quang-Hieu], Nguyen, D.T.[Duc Thanh], Tran, M.K.[Minh-Khoi], Yu, L.F.[Lap-Fai], Yeung, S.K.[Sai-Kit],
SceneNN: A Scene Meshes Dataset with aNNotations,
Dataset, RGB-D.
WWW Link. Cameras BibRef

Rotman, D.[Daniel], Gilboa, G.[Guy],
A Depth Restoration Occlusionless Temporal Dataset,
Dataset, RGB-D. BibRef

Zhang, J.J.[Jun-Jie], Zhang, J.[Jian], Lu, J.F.[Jian-Feng], Shen, C.H.[Chun-Hua], Curr, K.[Kate], Phua, R.[Robin], Neville, R.[Richard], Edmonds, E.[Elise],
SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval,
Dataset, Object Recognition. 29713 images, 119 labels. BibRef

Xiang, Y.[Yu], Kim, W.[Wonhui], Chen, W.[Wei], Ji, J.W.[Jing-Wei], Choy, C.[Christopher], Su, H.[Hao], Mottaghi, R.[Roozbeh], Guibas, L.J.[Leonidas J.], Savarese, S.[Silvio],
ObjectNet3D: A Large Scale Database for 3D Object Recognition,
ECCV16(VIII: 160-176).
Springer DOI 1611
Dataset, Object Recognition.
WWW Link. BibRef

Lin, T.Y.[Tsung-Yi], Maire, M.[Michael], Belongie, S.J.[Serge J.], Hays, J.[James], Perona, P.[Pietro], Ramanan, D.[Deva], Dollįr, P.[Piotr], Zitnick, C.L.[C. Lawrence],
Microsoft COCO: Common Objects in Context,
ECCV14(V: 740-755).
Springer DOI 1408
Dataset, Objects.
WWW Link. BibRef

Flickr30k Dataset,
From image descriptions to visual denotations. WWW Link.
Dataset, Visual Question Answering. Extension of Flickr 8k dataset.

Plummer, B.A.[Bryan A.], Wang, L.[Liwei], Cervantes, C.M.[Chris M.], Caicedo, J.C.[Juan C.], Hockenmaier, J.[Julia], Lazebnik, S.[Svetlana],
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models,
IJCV(123), No. 1, May 2017, pp. 74-93.
Springer DOI 1705
Earlier: ICCV15(2641-2649)
Dataset, Object Recognition. Benchmark testing BibRef

Fanello, S.R.[Sean Ryan], Ciliberto, C.[Carlo], Santoro, M.[Matteo], Natale, L.[Lorenzo], Metta, G.[Giorgio], Rosasco, L.[Lorenzo], Odone, F.[Francesca],
iCub World: Friendly Robots Help Building Good Vision Data-Sets,
Dataset, Object Recognition. Human Robot Interaction; Object Categorization Dataset; iCub BibRef

Ponomarenko, N.[Nikolay], Ieremeiev, O.[Oleg], Lukin, V.[Vladimir], Jin, L.[Lina], Egiazarian, K.O.[Karen O.],
A New Color Image Database TID2013: Innovations and Results,
Springer DOI 1311
Dataset, Color Images. BibRef

Ponce, J., Berg, T.L., Everingham, M.R., Forsyth, D.A., Hebert, M., Lazebnik, S.[Svetlana], Marszalek, M., Schmid, C., Russell, B.C., Torralba, A., Williams, C.K.I., Zhang, J., Zisserman, A.,
Dataset Issues in Object Recognition,
Springer DOI 0711
Dataset, Discussion. BibRef

Campbell, R., and Flynn, P.J.,
A WWW-Accessible 3D Image and Model Database for Computer Vision Research,
EEMCV98(148-154). BibRef 9800
And: EEMTV98(xx) Dataset, 3-D Data.
HTML Version. BibRef

Nene, S.A., Nayar, S.K.[Shree K.], Murase, H.[Hiroshi],
Columbia Object Image Library (COIL-100),
ColumbiaTechnical Report CUCS-006-96, February 1996.
PS File. Also:
WWW Link. Also the COIL-20 database.
WWW Link. Dataset, Objects. BibRef 9602

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
General Spatial Reasoning and Geometric Reasoning Issues .

Last update:May 26, 2020 at 12:00:59