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Description The Caltech Pedestrian Dataset consists of approximately 10 hours of 640x480 30Hz video taken from a vehicle driving through regular traffic in an urban environment. About 250,000 frames (in 137 approximately minute long segments) with a total of 350,000 bounding boxes and 2300 unique pedestrians were annotated. The annotation includes temporal correspondence between bounding boxes and
Description Pictures of objects belonging to 101 categories. About 40 to 800 images per category. Most categories have about 50 images. Collected in September 2003 by Fei-Fei Li, Marco Andreetto, and Marc 'Aurelio Ranzato. The size of each image is roughly 300 x 200 pixels. We have carefully clicked outlines of each object in these pictures, these are included under the 'Annotations.tar'. There i
Warning: Images in this dataset overlap with images in ImageNet. Exercise caution when using networks pretrained with ImageNet (or any network pretrained with images from Flickr) as the test set of CUB may overlap with the training set of the original network. For a newer revision of this dataset with more images and annotations, see Caltech-UCSD Birds-200-2011 Details Caltech-UCSD Birds 200 (CUB-
These datasets are available for use under a Creative Commons Attribution 4.0 International License with the following attribution: P. Dollár, C. Wojek, B. Schiele and P. Perona, Pedestrian Detection: An Evaluation of the State of the ART, PAMI, 2012. P. Dollár, C. Wojek, B. Schiele and P. Perona, Pedestrian Detection: A Benchmark, CVPR 2009, Miami, Florida.
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Welcome to the Perona Lab We are interested in the computational foundations of vision. This knowledge helps us design machine vision systems with applications to science, conservation, consumer products, entertainment, manufacturing, and defense. We also study the human visual system using psychophysical experiments and build models of its function. At the moment, we are mostly studying visual re
Jean-Yves Bouguet, Ph.D. Computer Vision Research Group Dept. of Electrical Engineering California Institute of Technology Mail Code 136-93 Pasadena, CA 91125 Current position: Senior Software Engineer at Google Ph.D. thesis I received my Ph.D. degree on June 11th, 1999 (after defending on May 25th, 1999). You may retreive my complete thesis at that link. Teaching: EE/CNS148, CS274c: 3D Photograph
Contact: Chen Neuroscience Research Building, Caltech (Maps)
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