The authors of the iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images dataset have introduced the first benchmark dataset for instance segmentation in aerial imagery, which merges instance-level object detection and pixel-level segmentation tasks. It contains 655,451 object instances spanning 15 different categories across 2,806 high-resolution images. Precise per-pixel annotations have been provided for each instance, ensuring accurate localization for detailed scene analysis. Compared to existing small-scale aerial image-based instance segmentation datasets, iSAID boasts 15 times the number of object categories and 5 times the number of instances.

iSAID dataset annotations. The imagery is the same as DOTA Version 1 which can be found here.

  Image Source and Usage License

The DOTA images are collected from the Google Earth, GF-2 and JL-1 satellite provided by the China Centre for Resources Satellite Data and Application, and aerial images provided by CycloMedia B.V. DOTA consists of RGB images and grayscale images. The RGB images are from Google Earth and CycloMedia, while the grayscale images are from the panchromatic band of… See the full description on the dataset page: https://huggingface.co/datasets/isaaccorley/isaid.

Isaid

## Overview

Isaid is a dataset for semantic segmentation tasks - it contains Objects annotations for 470 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).

Semantic segmentation of the HSR remote sensing dataset iSAID dataset using state-of-the-art methods to compare the experimental mIoU.

Usaid Gandu

## Overview

Usaid Gandu is a dataset for object detection tasks - it contains Apple annotations for 295 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).

USAID - Worldwide 1

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the fourth spreadsheet of thirteenin the USAID Construction Assessment, Subawards. The USAID construction assessment is a survey of the character, scope, value and management of construction activities supported by USAID during the period from June 1, 2011 to June 20, 2013.

This dataset draws information from a public USAID database and was web-scraped and audited by AidData. It includes expanded project descriptions for 6659 projects. AidData sector and activity codes have also been applied. Funding amounts are not included in this dataset.

In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully. This is the second spreadsheet of three in the USAID Construction Assessment, Primary Awards. The USAID construction assessment is a survey of the character, scope, value and management of construction activities supported by USAID during the period from June 1, 2011 to June 20, 2013.

Explore the historical Whois records related to isaid.vip (Domain). Get insights into ownership history and changes over time.

This dataset contains data on subwards identified in the survey of USAID construction carried out between June 1, 2011 to June 20 to learn about the character, scope, value and management of USAID supported construction activities. In the process of migrating data to the current DDL platform, datasets with a large number of variables required splitting into multiple spreadsheets. They should be reassembled by the user to understand the data fully.

Two USAID-funded Mali projects’ data are included in this folder covering 2015 and 2021: 1) Mali’s Girls Leadership and Empowerment Through Education (GLEE), and 2) Selective Integrated Reading Activity (SIRA). Across these projects, the folder contains the following files and numbers of each: codebooks (3), consent (11), data files (4), instruments (2), and reports (1).

USAID - India

This is an inventory of all data assets maintained by USAID.

Four USAID-funded Ethiopian projects' data are included in this folder covering the period from 2009 to 2018. The projects are: 1) Improving Quality of Primary Education Program (IQPEP), 2) Reading for Ethiopia's Achievement Developed (READ), 3)Transforming Education for Adults and Children in the Hinterlands (TEACH) II and 4) USAID Reading for Ethiopia's Achievement Developed (READ M&E). Across the projects, the folder contains the following files and numbers of each: codebooks (32), consent (3), data files (25), instruments (13), reports (17).

USAID - Africa, Regional

The best results in the experiments are indicated by the values in bold in each column.

This folder contains data from four USAID-funded Liberian education projects spanning 2008–2021: 1) Accelerated Quality Education (AQE) for Liberian Children, 2) EGRA Plus, 3) Liberia Teacher Training Program (LTTP II), and 4) READ Liberia. Across these projects, the folder includes 15 codebooks, 10 consent forms, 22 data files, 17 instruments, and 11 reports.

In January 2025, President Trump ordered a pause on funding for the U.S. Agency for International Development (USAID) and a 90-day review of all U.S. foreign assistance. By the end of March, the review had been completed, 83 percent of USAID programs were terminated, and it was announced that certain USAID functions would be overtaken by the Department of State while all others would be discontinued. It has been predicted that as a result of the termination of USAID, within a year there could be an additional 11.4 million malaria cases among children worldwide as well as 78,800 additional deaths from malaria among children. Trump has said that the United States spends too much on foreign aid and accused USAID of being corrupt and a waste of money. However, foreign aid accounts for just one percent of the federal budget. Furthermore, it is predicted that millions of people will die due to the dissolution of USAID, as vulnerable people around the world will no longer be able to access prevention and treatment for diseases such as HIV/AIDS, tuberculosis, and malaria.

Seven USAID, The ELMA Foundation and J.P. Morgan funded South African project's data are included in this folder covering the period from 2012 to 2020: 1) Early Grade Reading Study (EGRS), 2) Reading Support Project (RSP), 3) South Africa Story Powered School Program, 4) Strengthening Teaching of Early Language and Literacy (STELLAR), 5) Teacher Assessment Resources for Monitoring and Improving Instruction for Foundation Phase (TARMII-FP), 6) Ukusiza, and 7) kaMhinga Literacy Project. Across these projects, the folder contains the following files and numbers of each: codebooks (30), consent (17), data files (98), instruments (63), and reports (5).