Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"
Dataset created according to the paper On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm.
Basic Usage
from datasets import load_dataset dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-rded-ipc-50")
For more information, please refer to the Rethinking-Dataset-Compression
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
This dataset contains 2 subsets of anonymized video capsule endoscopy images with annotated red lesions. Folder "Set 1" has 3,295 non-sequential frames in sub-folder "A" and the corresponding annotated masks in sub-folder "B"; Similarly, folder "Set 2" has 600 sequential frames. All frames are 320x320 pixels wide. This dataset was used in the article "A Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies" published at ICIAR 2018 to evaluate deep learning U-Net architecture, detect and segment red lesions in the small bowel. To access the dataset please use this password: 7PbuQHER
The Real Embodied Dataset (RED) is a computer vision large-scale dataset for grasping in cluttered scenes. It contains complete segmentation masks for partially occluded objects, with their order of occlusion.
This dataset reflects the daily volume of violations created by the City of Chicago Red Light Program for each camera. The data reflects violations that occurred from July 1, 2014 until present, minus the most recent 14 days. This data may change due to occasional time lags between the capturing of a potential violation and the processing and determination of a violation. The most recent 14 days are not shown due to revised data being submitted to the City of Chicago during this period. The reported violations are those that have been collected by the camera system and reviewed by two separate City contractors. In some instances, due to the inability the registered owner of the offending vehicle, the violation may not be issued as a citation. However, this dataset contains all violations regardless of whether a citation was actually issued, which provides an accurate view into the Red Light Program. Because of occasional time lags between the capturing of a potential violation and the processing and determination of a violation, as well as the occasional revision of the determination of a violation, this data may change. More information on the Red Light Program can be found here: http://www.cityofchicago.org/city/en/depts/cdot/supp_info/red-light_cameraenforcement.html. The corresponding dataset for speed camera violations is https://data.cityofchicago.org/id/hhkd-xvj4.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Ball Tracking Red is a dataset for object detection tasks - it contains Ball Tracking Red annotations for 1,057 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This dataset shows the location, first operational date, and approaches of the red light cameras in the City of Chicago. The approach describes the originating direction of travel which is monitored by a red light camera.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Red Car Detection is a dataset for object detection tasks - it contains Red Car annotations for 468 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
This layer contains point data for the red sesbania (Sesbania punicea) database. The database represents historic and current observations by various individuals of occurrences red sesbania, a non-native invasive plant that currently is invading riparian ecosystems in California. Most occurrences are in the Central Valley, but a few are in the San Francisco Bay area and in a few watersheds to the north. These data were compiled to aid in the eradication and control of the species where it is invasive, as well as to inform the public of its spread. As of February 1, 2006, there were 91 records of point occurrences maintained in an Access database titled SesbaniaData. Each record represents a point where red sesbania occurs.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Red,green,blue Cube Detection is a dataset for object detection tasks - it contains Cubes annotations for 207 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
About this dataset
This dataset is an unofficial transformed clone of the Generative AI Red-Teaming (GRT) dataset created by Humane Intelligence (HI). This dataset collates findings from the Generative AI Red-Teaming Challenge conducted at AI Village within DEFCON 31. It is provided as part of HI's inaugural algorithmic bias bounty. The original lives on GitHub at: humane-intelligence/bias-bounty-data
Differences
This version of the GRT dataset differs from the original… See the full description on the dataset page: https://huggingface.co/datasets/jinnovation/generative-ai-red-teaming.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Mesa High School vs. Arizona and Red Mesa Unified District (4159) School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Lick Middle School vs. Texas and Red Lick Independent School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2010 to 2021 for Red Mountain School vs. Utah and Washington School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Creek Middle School vs. New York and Red Creek Central School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Springs Middle School vs. North Carolina and Of Robeson County School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Red Creek Central School District is provided by PublicSchoolReview and contain statistics on metrics:Comparison of Diversity Score Trends,Total Revenues Trends,Total Expenditure Trends,Average Revenue Per Student Trends,Average Expenditure Per Student Trends,Reading and Language Arts Proficiency Trends,Math Proficiency Trends,Science Proficiency Trends,Graduation Rate Trends,Overall School District Rank Trends,American Indian Student Percentage Comparison Over Years (2022-2023),Asian Student Percentage Comparison Over Years (1996-2023),Hispanic Student Percentage Comparison Over Years (1993-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2011-2022),Comparison of Students By Grade Trends
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Bud High School vs. Illinois and Red Bud CUSD 132 School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Cloud High School vs. Nebraska and Red Cloud Community Schools School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Red Rock Central Secondary vs. Minnesota and Red Rock Central School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical Dataset of Red Springs Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1993-2023),Total Classroom Teachers Trends Over Years (1993-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1993-2023),American Indian Student Percentage Comparison Over Years (1993-2023),Asian Student Percentage Comparison Over Years (2019-2023),Hispanic Student Percentage Comparison Over Years (1996-2023),Black Student Percentage Comparison Over Years (1993-2023),White Student Percentage Comparison Over Years (1993-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1993-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2001-2014),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)
Dataset used for paper -> "Rethinking Dataset Compression: Shifting Focus From Labels to Images"
Dataset created according to the paper On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm.
Basic Usage
from datasets import load_dataset dataset = load_dataset("he-yang/2025-rethinkdc-imagenet-rded-ipc-50")
For more information, please refer to the Rethinking-Dataset-Compression