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Description |
Links |
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Images from
Digital Image
Processing, 4th ed, by Gonzalez and Woods
are in the DIP4E
Faculty and
Student Support
Packages |
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Images from Digital Image
Processing Using MATLAB, 3rd ed., by Gonzalez, Woods, and Eddins
are in the DIPUM3E Faculty and
Student Support Packages. |
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Images from Digital Image
Processing, 3rd ed, by Gonzalez and Woods. |
Download |
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Images from Digital Image
Processing Using MATLAB, 2nd ed. by Gonzalez, Woods, and Eddins. |
Download |
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"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). |
Download |
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MPEG7 CE Shape-1 Part B (database containing 1400 binary shape images).
Learn more about MPEG7. See how the
shapes database is used. |
Download |
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Light microscopy images (an excellent collection). |
light microscopy |
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Images from various microscope types, including
Atomic Force, Light, Confocal, ESEM, TEM, & others. |
microscopy images |
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MedPix--Medical (radiological) image database with more than 20,000
images. Registration is free. |
MedPix |
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CMU links to a variety of image databases. |
CMU links |
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U Mass DARPA image understanding datasets. |
DARPA images |
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NASA image exchange (a comprehensive collection of space and related
images). |
NIX images |
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NASA planetary photojournal (a collection of planetary images). |
planet
images |
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NOAA photo library (a collection of Earth observation images). |
NOAA
images |
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USGS satellite images of Earth changes. |
USGS images |
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ESO weather satellite images. |
weather sat images |
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Earth
Science World Image Bank (A large collection of satellite images) |
Sci World Image Bank |
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Face databases. |
Faces |
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Fingerprint databases. |
BIT,
U of Bologna |
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Ground truth labeled video
sequences. |
labeled video images |
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Berkeley image segmentation dataset-images and segmentation benchmarks. |
segmentation dataset |
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Aircraft silhouettes. |
aircraft-images |
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Leaf shapes database (courtesy of V. Waghmare).
Read about the database. |
Download |
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Annotated databases (public databases, good for comparative studies). |
Image Sciences Inst. |
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Daimler Pedestrian Detection Database (a DB of moving people and
vehicles). |
Daimler Database |
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Image Sciences Institute annotated research data bases (retinal images,
chest radiographs, images for evaluating registration techniques, liver
images, brain MRI scans). |
ISI
Databases |
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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. |
Range
Images |
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Pascal dataset. (Standardized image data for object class recognition.) |
Pascal |
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Data set of plant images (Download from host web site home page.) |
Plant Images |
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Multispectral images data base: USGS database of remote sensing data |
GloVis |
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Image databases useful for benchmarking |
Essex |
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Index of image databases (an extensive list of image databases) |
CVonline |
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A SAMPLE OF IMAGE DATABASES USED FREQUENTLY FOR DEEP LEARNING: |
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A.
MNIST dataset of handwritten digits (28x28 grayscale images with 60K training samples and 10K
test samples in a consistent
format). |
MNIST |
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B. CIFAR-10 dataset. (32x32 RGB images in 10 classes. 50K
training images and 10K test images). |
CIFAR-10 |
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C. CIFAR-100 dataset. (32x32 RGB images in 100 classes. 50K
training images and 10K test images). |
CIFAR-100 |
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D. Caltech101 dataset. (RGB and grayscale images of various sizes
images in 101 categories, for a total of 9144 images). |
CALTECH101 |
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E. Caltech256 dataset. (RGB and grayscale images of various sizes
in 256 categories for a total of 30608 images). |
CALTECH256 |
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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.) |
IMAGENET |
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G. More image databases used in deep learning. |
More Images |
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H. Image classification accuracy using various deep learning
approaches and image databases. |
Classification Accuracy |
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I. Columbia University Image Library: A 100-object image
database. |
COIL-100 |
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J. House Rooms Image Dataset. Images of five types of rooms
in a typical Western house. Kagle has close to 240K databases
useful for machine learning. |
Kaggle |
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K. Laion-5B. Masive image database with over 5-billion
image-text pairs. |
Laion |
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L. Hi res labeled lluorecent leuronal lells. |
AMSActa |
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M. Satellite Imagery Datasets. |
ASID |
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