Awesome Data – Image Processing Datasets
A curated awesome-style collection of image processing and computer vision datasets, hosted under the Awesome Data (apd-core) project. The listed datasets (e.g., ImageNet, KITTI, Danbooru, DukeMTMC) are part of this meta awesome directory of specialized data resources.
About this tool
Awesome Data – Image Processing Datasets
URL: https://github.com/awesomedata/apd-core/tree/master/core/ImageProcessing
Category: Themed directories
Brand: awesome-data
Featured: Yes
Tags: datasets, computer-vision, awesome-lists
Overview
Awesome Data – Image Processing Datasets is a curated, awesome-style directory of image processing and computer vision datasets. It is part of the Awesome Data (apd-core) project and serves as a meta index to well-known and specialized image-focused datasets.
Features
- Curated awesome-style list of image processing and computer vision datasets.
- Part of the Awesome Data (apd-core) project, integrating with a broader ecosystem of data resource directories.
- Focus on image-based datasets, including:
- Large-scale classification datasets (e.g., ImageNet).
- Autonomous driving and scene understanding datasets (e.g., KITTI).
- Illustration/anime image datasets (e.g., Danbooru).
- Person re-identification and tracking datasets (e.g., DukeMTMC).
- Meta-directory role: acts as a central index pointing to original dataset sources rather than hosting data directly.
- Organized under
core/ImageProcessingin the APD Core repository for structured navigation. - Open GitHub repository: accessible for browsing, forking, and contributions via pull requests.
- Consistent formatting with other Awesome-style lists, making it easy to scan and compare datasets.
Use Cases
- Discover image processing and computer vision datasets for:
- Training and benchmarking machine learning and deep learning models.
- Research in computer vision, image recognition, and visual tracking.
- Building applications involving object detection, classification, and image retrieval.
- Quickly locate canonical dataset links and descriptions from a single index.
Media
- Brand logo: https://raw.githubusercontent.com/awesomedata/apd-core/master/assets/logo.png
- Preview / Open Graph image: https://opengraph.githubassets.com/1/awesomedata/apd-core
Pricing
- Not applicable. This is an open GitHub-based curated list; no pricing information is provided.
Loading more......
Information
Categories
Tags
Similar Products
6 result(s)An Awesome Data Project (APD) core entry for the Visual Genome image dataset within the ImageProcessing category. It is part of the broader Awesome-style curated collection of data resources, cataloging the Visual Genome dataset for discovery and reuse.
An Awesome Data Project (APD) core entry for the YouTube Faces Database within the ImageProcessing category. It is included in the Awesome-style meta collection of datasets, providing structured metadata and links for this facial video dataset.
A curated subset of the Awesome Public Datasets project that catalogs high-quality, publicly available social network datasets (e.g., Twitter scrapes, Enron email, Facebook graphs). This collection functions as an "awesome-style" directory specifically focused on social network data, providing structured metadata files for each dataset to make discovery and reuse easier across the wider awesome ecosystem.
A large-scale autonomous driving dataset by Audi, providing camera and LiDAR sensor data with annotations for perception and self-driving research. Included in an awesome machine learning datasets directory.
A curated Awesome-style subdirectory of the Awesome Data project listing search engines and repositories for datasets, including academic, governmental, and open data search portals such as Academic Torrents, Datahub.io, Harvard Dataverse, ICPSR, and Zenodo. It serves as a meta-collection entry that links to individual data search engines within the broader Awesome ecosystem.
An Awesome Public Datasets finance category item pointing to NASDAQ Data Link, which offers market and financial datasets. The entry is part of the Awesome-style meta-directory that indexes major public financial data providers.