Data for Courses at the Digital-Media department

This repo contains datasets that can be used for teaching. At the moment, it contains images/datasets mostly used for Computer Vision lectures.

Dataset(s)

Drone Image Pairs (Thermal and RGB)

The thermal-rgb folder and corresponding zip-files contain image pairs of thermal and RGB images recorded by a drone.

You can use the scenes ellipse, FH3, forest, and hut and are well suited for various tasks:

• ellipse ⬇️ (direct download): scene showing the FH's ellipse. Drone was hovering and only rotating around the up-axis. Perfect for panorama stitching.
• FH3 ⬇️ (direct download): scene showing the FH's FH3 building. Drone was flying at a horizontal distance of around 60m to the building. Suitable for panorama stitching.
• forest ⬇️ (direct download): scene showing a forest. Drone was flying 50m above the ground. There is no overlap between the images, so panorama stitching is not possible.
• hut ⬇️ (direct download): scene showing a hut in a zoo. Drone was flying in circular movements around the front of the hut. Might be suitable for panorama stitching (but will be hard).

An exemplary pair of the ellipse scene is shown in the following table.

Thermal	RGB

Hybrid Images

The hybrid_images folder and zip-file contains data for creating hybrid images. The dataset is taken from a computer vision course at Georgia Tech and features pairs of aligned images.

An exemplary pair is shown in the following table.

Image A	Image B

⬇️ To directly download a zip folder of the dataset use this link!

Binary Leaves

The binary_leaves folder and .zip-file contais 282 binary images of 5 different leave types. The binary images are taken from the Flavia leave dataset and feature a resolution of $170 \times 128$ pixels. The dataset is intended for binary image processing. Exemplary images are shown below.

Japanese maple	Chinese cinnamon	ginkgo, maidenhair tree	Chinese tulip tree	tangerine
56 images	55 images	62 images	53 images	56 images

⬇️ To directly download a zip folder of the dataset use this link!

Panorama Stitching Images

The panorama_stitching folder and .zip-file contains images that can be used for panorama stitching algorithms. Various images from different sources are included.

Image(s)	Description, Source (Copyright)
(1250 x 442)	This image is a panorama image of the campus Hagenberg showing the ellipse, FH1 and FH2. The image can be, for example, cropped in multiple regions and than stitched together. Source: Originally the image was hosted at the Website of the University. Sadly it is offline, now. This version was downloaded forman alternative: talente-ooe.at
(1024x683)	Two images (A and B) recorded at theUniversity of Texas at Austin. The big tower in image B shows the Main Building. Source: the images are downloaded from the staff website of Hélio Pedrini.

Exemplary Images (for various tasks)

The example_images folder contains exemplary images that can be used for various tasks.

Image	Description, Source
	A cute cat image. Source:Wikimedia Commons
	An image of a painting by Vincent van Gogh. Source:Wikimedia Commons
	An image of Albert Einstein. Source:The Laboratory for Computational Vision is an interdisciplinary research group at New York University
	An image of a woman. Useful for showcasing edge and line detection. Source:Flickr
	An image of a sudoku puzzle. Useful for thresholding algorithms. Source:OpenCV

Structure From Motion (SFM) Example Images (for various tasks)

The SFM folder contains images that can be used for Structure From Motion (SFM). In the subfolders you can find images of different scenes that can be used for SFM tasks.

• Ellipse ⬇️ (direct download of images as zip): scene showing the FH's ellipse. Images show a drone flight with 3 different heights and angles. Images are extracted from a video and subsampled. Note that the matching of the images is not perfect for all images.

An exemplary set of images is shown in the following table.

Image 00	Image 33	Image 99

Download

In a Jupyter notebook (on Windows and Linux) you can use the following lines of code to download and unzip the entire zip-file of a dataset:

!curl -LJO "https://raw.githubusercontent.com/Digital-Media/cv_data/main/<dataset>.zip" --silent
import zipfile
with zipfile.ZipFile("<dataset>.zip", 'r') as zip_ref:
    zip_ref.extractall(".")

Replace <dataset> with hybrid_images, binary_leaves or any other dataset you want to download.