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SFU-HW-Tracks-v1

This dataset includes object tracking annotations for CTC v1 HEVC test sequences. A separate annotation file is provided for each frame in each sequence.

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Related publications

T. Tanaka, H. Choi, and I. V. Bajić, Updating a dataset of labelled objects on raw video sequences with unique object IDs, Data in Brief, Apr. 2022. [DOI] []
T. Tanaka, H. Choi, and I. V. Bajić, SFU-HW-Tracks-v1: Object tracking dataset on raw video sequences, arXiv preprint arXiv:2112.14934, Dec. 2021. [arXiv] []

SFU-HW-Objects-v1

This dataset includes object detection annotations for CTC v1 HEVC test sequences. A separate annotation file is provided for each frame in each sequence.

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Related publications

H. Choi, E. Hosseini, S. R. Alvar, R. A. Cohen, and I. V. Bajić, A dataset of labelled objects on raw video sequences, Data in Brief, Feb. 2021. [DOI] [data]

VOC-360

This dataset includes a collection of images from from the VOC 2012 dataset that have been processed to look like fisheye images coming from a typical 360-degree camera. The dataset allows one to train models for object detection and segmentation on fisheye-looking images. The dataset includes images, object annotations, and segmentation masks.

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Related publications

J. Fu, I. V. Bajić, and R. G. Vaughan, Datasets for face and object detection in fisheye images, Data in Brief, Dec. 2019. [DOI] [data]

Wider-360

This dataset includes a collection of images from the Wider Face Detection Benchmark that have been processed to look like fisheye images coming from a typical 360-degree camera. The dataset allows one to train face detectors on fisheye-looking images. The dataset includes images and face annotations.

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Related publications

J. Fu, I. V. Bajić, and R. G. Vaughan, Datasets for face and object detection in fisheye images, Data in Brief, Dec. 2019. [DOI] [data]

FDDB-360

This dataset includes a collection of images from the Face Detection Data Set and Benchmark (FDDB) that have been processed to look like fisheye images coming from a typical 360-degree camera. The dataset allows one to train face detectors on fisheye-looking images. The dataset includes images, face annotations, sample code to train and test a face detector, as well as a sample face detection model described in the paper below.

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Related publications

J. Fu, S. R. Alvar, I. V. Bajić, and R. G. Vaughan, FDDB-360: Face detection in 360-degree fisheye images, Proc. IEEE MIPR'19, Mar. 2019. [arXiv] [data]

Eye tracking dataset for standard video sequences

This dataset includes a database of gaze locations by 15 independent viewers on a set of 12 standard CIF video sequences: Foreman, Bus, City, Crew, Flower Garden, Mother and Daughter, Soccer, Stefan, Mobile Calendar, Harbor, and Tempete. Included are the gaze locations for the first and second viewing of each sequence, their visualizations, heat maps, and sample MATLAB demo files that show how to use the data.

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Related publications

H. Hadizadeh, M. J. Enriquez, and I. V. Bajić, Eye-tracking database for a set of standard video sequences, IEEE Trans. Image Processing, Feb. 2012. [IEEEXplore] []

Segmented foreground objects

This dataset includes manually segmented foreground objects that we used as the ground truth in our moving region segmentation. Each set contains segmentation masks, segmented object(s), and original frames.

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Related publications

Y.-M. Chen, I. V. Bajić, and P. Saeedi, Coarse-to-fine moving region segmentation in compressed video, Proc. IEEE WIAMIS'09, May. 2009. [IEEEXplore] []
Y.-M. Chen and I. V. Bajić, Compressed-domain moving region segmentation with pixel precision using motion integration, Proc. IEEE PacRim'09, Aug. 2009. [IEEEXplore] []