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Images from Digital Image Processing, 4th ed, by Gonzalez and Woods are in the DIP4E Faculty and Student Support Packages | |
Images from Digital Image Processing Using MATLAB, 3rd ed., by Gonzalez, Woods, and Eddins are in the DIPUM3E Faculty and Student Support Packages. | |
Images from Digital Image Processing, 3rd ed, by Gonzalez and Woods. | |
Images from Digital Image Processing Using MATLAB, 2nd ed. by Gonzalez, Woods, and Eddins. | |
'Standard' test images (a set of images found frequently in the literature: Lena, peppers, cameraman, lake, etc., all in uncompressed tif format and of the same 512 x 512 size). | |
MPEG7 CE Shape-1 Part B (database containing 1400 binary shape images). Learn more about MPEG7. See how the shapes database is used. | |
Light microscopy images (an excellent collection). | |
Images from various microscope types, including Atomic Force, Light, Confocal, ESEM, TEM, & others. | |
MedPix--Medical (radiological) image database with more than 20,000 images. Registration is free. | |
CMU links to a variety of image databases. | |
U Mass DARPA image understanding datasets. | |
NASA image exchange (a comprehensive collection of space and related images). | |
NASA planetary photojournal (a collection of planetary images). | |
NOAA photo library (a collection of Earth observation images). | |
USGS satellite images of Earth changes. | |
ESO weather satellite images. | |
Earth Science World Image Bank (A large collection of satellite images) | Sci World Image Bank |
Face databases. | |
Fingerprint databases. | BIT, U of Bologna |
Ground truth labeled video sequences. | |
Berkeley image segmentation dataset-images and segmentation benchmarks. | |
Aircraft silhouettes. | |
Leaf shapes database (courtesy of V. Waghmare). Read about the database. | Download |
Annotated databases (public databases, good for comparative studies). | |
Daimler Pedestrian Detection Database (a DB of moving people and vehicles). | |
Image Sciences Institute annotated research data bases (retinal images, chest radiographs, images for evaluating registration techniques, liver images, brain MRI scans). | |
University of South Florida range image database. (This database contains over 400 range images, each with a registered intensity image, taken using four different range cameras. | |
Pascal dataset. (Standardized image data for object class recognition.) | |
Data set of plant images (Download from host web site home page.) | |
Multispectral images data base: USGS database of remote sensing data | GloVis |
Image databases useful for benchmarking | Essex |
Index of image databases (an extensive list of image databases) | |
A SAMPLE OF IMAGE DATABASES USED FREQUENTLY IN DEEP LEARNING: | |
A. MNIST dataset of handwritten digits (28x28 grayscale images with 60K training samples and 10K test samples in a consistent format). | |
B. CIFAR-10 dataset. (32x32 RGB images in 10 classes. 50K training images and 10K test images). | |
C. CIFAR-100 dataset. (32x32 RGB images in 100 classes. 50K training images and 10K test images). | |
D. Caltech101 dataset. (RGB and grayscale images of various sizes images in 101 categories, for a total of 9144 images). | |
E. Caltech256 dataset. (RGB and grayscale images of various sizes in 256 categories for a total of 30608 images). | |
F. ImageNet (RGB and grayscale images of various sizes in more than 10,000 categories for a total of over 3 million images--Considered by many to be the standard for algorithm development and testing.) | |
G. More image databases used in deep learning. | |
H. Image classification accuracy using various deep learning approaches and image databases. | |
I. Columbia University Image Library: A 100-object image database. |
To created add 57 pieces, transparent PEOPLE images of your project files with the background cleaned.