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2,661 to 2,670 of 8,520 Results

Exploration des liens entre agriculture et sécurité alimentaire : Une enquête auprès des femmes du gouvernorat de Sidi-Bouzid, en Tunisie centrale Jan 18, 2023 - Published in CIRAD Dataverse Gaillard, Cédric; Dury,Sandrine; Bosc, Pierre-Marie, 2024, "Exploration des liens entre agriculture et sécurité alimentaire : Une enquête auprès des femmes du gouvernorat de Sidi-Bouzid, en Tunisie centrale", https://doi.org/10.18167/DVN1/LWT7BG, CIRAD Dataverse Enquête réalisée en zone rurale du Centre-est de la Tunisie auprès des femmes, des chefs de ménages et des exploitations agricole. This dataset is harvested from CIRAD Dataverse. Clicking the link will take you directly to the source.
Survey data : access to market information and marketing strategies of rice farmers in Madagascar Jan 18, 2023 - Published in CIRAD Dataverse DAVID-BENZ, Hélène; ANDRIANDRALAMBO, Norontsoa; SOANJARA, Helgina, 2024, "Survey data : access to market information and marketing strategies of rice farmers in Madagascar", https://doi.org/10.18167/DVN1/WJRDTG, CIRAD Dataverse Socio -economic surveys on rice farms. Focused on (i) structural characteristics of farms, (ii) marketing strategies and constraints, (iii) access to information, and (iv) farmers’ perceptions and expectations towards market information systems This dataset is harvested from CIRAD Dataverse. Clicking the link will take you directly to the source.
COCO-style geographically unbiased image dataset for computer vision applications Jan 13, 2023 - UMI UMMISCO Bayet, Theophile, 2023, "COCO-style geographically unbiased image dataset for computer vision applications", https://doi.org/10.23708/N2UY4C, DataSuds, V1 There are already a lot of datasets linked to computer vision tasks (Imagenet, MS COCO, Pascal VOC, OpenImages, and numerous others), but they all suffer from important bias. One bias of significance for us is the data origin: most datasets are composed of data coming from develo...
COCO_World_URLs_Annotations.zip Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications ZIP Archive - 301.2 KB - MD5: 7d00b44bfd43f82760b0d1500f661c5e Data Annotations for 400 images per geographic zones, JSON format (COCO-style): presence or absence of 91 categories of objects or concepts on the images.
COCO_World_URLs_Data_Management_Plan.pdf Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications Adobe PDF - 55.9 KB - MD5: 808d3cb240f0b589e1ae55e03294151c Documentation Data Management Plan of the project, in French (6 pages)
COCO_World_URLs_Data.zip Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications ZIP Archive - 168.1 MB - MD5: b3467eebbefb50907f880809a97fb8df Data 23 text files: comma separated URLs for each of the 23 geographic zones. Files are named according to geographic zones (UN M49 standard)
COCO_World_URLs_Description.pdf Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications Adobe PDF - 81.4 KB - MD5: 0e8500cc3f9e2060ccc0bd6ca8c99986 Documentation Detailed description of the dataset, in English
COCO_World_URLs_Licenses.zip Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications ZIP Archive - 213.9 KB - MD5: 4288be6f0763234a9becf9bd6f10d2f4 Data Licenses for the 400 annotations per geographic zones (based on the original licenses specified per image), CSV format.
COCO_World_URLs_Readme.txt Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications Plain Text - 1.7 KB - MD5: adddf89525947a701c5725394ff712fb Documentation Dataset citation and summary
KP_1_CHEHBOUNI-CC-Advanced-Courses-2018.pdf Jan 5, 2023 - France-CGIAR BRIDGE collaboration: integrated model-based approaches for climate and water smart decisions Adobe PDF - 19.3 MB - MD5: cd2c12270ac848b348b91d64c0fdd9e6

Exploration des liens entre agriculture et sécurité alimentaire : Une enquête auprès des femmes du gouvernorat de Sidi-Bouzid, en Tunisie centrale

Jan 18, 2023 - Published in CIRAD Dataverse

Gaillard, Cédric; Dury,Sandrine; Bosc, Pierre-Marie, 2024, "Exploration des liens entre agriculture et sécurité alimentaire : Une enquête auprès des femmes du gouvernorat de Sidi-Bouzid, en Tunisie centrale", https://doi.org/10.18167/DVN1/LWT7BG, CIRAD Dataverse

Enquête réalisée en zone rurale du Centre-est de la Tunisie auprès des femmes, des chefs de ménages et des exploitations agricole.

This dataset is harvested from CIRAD Dataverse. Clicking the link will take you directly to the source.

Survey data : access to market information and marketing strategies of rice farmers in Madagascar

Jan 18, 2023 - Published in CIRAD Dataverse

DAVID-BENZ, Hélène; ANDRIANDRALAMBO, Norontsoa; SOANJARA, Helgina, 2024, "Survey data : access to market information and marketing strategies of rice farmers in Madagascar", https://doi.org/10.18167/DVN1/WJRDTG, CIRAD Dataverse

Socio -economic surveys on rice farms. Focused on (i) structural characteristics of farms, (ii) marketing strategies and constraints, (iii) access to information, and (iv) farmers’ perceptions and expectations towards market information systems

This dataset is harvested from CIRAD Dataverse. Clicking the link will take you directly to the source.

COCO-style geographically unbiased image dataset for computer vision applications

Jan 13, 2023 - UMI UMMISCO

Bayet, Theophile, 2023, "COCO-style geographically unbiased image dataset for computer vision applications", https://doi.org/10.23708/N2UY4C, DataSuds, V1

There are already a lot of datasets linked to computer vision tasks (Imagenet, MS COCO, Pascal VOC, OpenImages, and numerous others), but they all suffer from important bias. One bias of significance for us is the data origin: most datasets are composed of data coming from develo...

COCO_World_URLs_Annotations.zip

Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications

ZIP Archive - 301.2 KB -

Data

Annotations for 400 images per geographic zones, JSON format (COCO-style): presence or absence of 91 categories of objects or concepts on the images.

COCO_World_URLs_Data_Management_Plan.pdf

Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications

Adobe PDF - 55.9 KB -

Documentation

Data Management Plan of the project, in French (6 pages)

COCO_World_URLs_Data.zip

Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications

ZIP Archive - 168.1 MB -

Data

23 text files: comma separated URLs for each of the 23 geographic zones. Files are named according to geographic zones (UN M49 standard)

COCO_World_URLs_Description.pdf

Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications

Adobe PDF - 81.4 KB -

Documentation

Detailed description of the dataset, in English

COCO_World_URLs_Licenses.zip

Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications

ZIP Archive - 213.9 KB -

Data

Licenses for the 400 annotations per geographic zones (based on the original licenses specified per image), CSV format.

COCO_World_URLs_Readme.txt

Jan 13, 2023 - COCO-style geographically unbiased image dataset for computer vision applications

Plain Text - 1.7 KB -

Documentation

Dataset citation and summary

KP_1_CHEHBOUNI-CC-Advanced-Courses-2018.pdf

Jan 5, 2023 - France-CGIAR BRIDGE collaboration: integrated model-based approaches for climate and water smart decisions

Adobe PDF - 19.3 MB -

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