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Publication Year: 2023

681 to 690 of 697 Results

LMIOCE_WQ_Curuai_Floodplain_profiles.tab Feb 14, 2023 - Surface water quality (2013-2017) - Curuai floodplain, Brazil, Pará Tabular Data - 697.6 KB - 1 Variables, 8323 Observations - UNF:6:VteW2Ah2s5WCuBDt09GYrw== Data Physico-chemical vertical profiles
LMIOCE_WQ_Curuai_Floodplain_sampledata.tab Feb 14, 2023 - Surface water quality (2013-2017) - Curuai floodplain, Brazil, Pará Tabular Data - 127.1 KB - 42 Variables, 396 Observations - UNF:6:dwY+3qWii4CApl9i3YjTZg== Data Water quality data from water samples collected at surface and for some of the stations, at several depths
UMR LPED(Aix-Marseille University, IRD - OSU PYTHEAS) Feb 3, 2023 Laboratoire Population – Environnement – Développement Interdisciplinary laboratory for the development of research at the interface between Social Sciences and Environmental Sciences
UMR CEFE(CNRS, EPHE, IRD, Univ. Montpellier) Jan 31, 2023 Le Centre d’Ecologie Fonctionnelle et Evolutive est un des plus importants laboratoires de recherche en Ecologie en France. Le projet du CEFE vise à comprendre la dynamique, le fonctionnement et l’évolution du vivant, de «la bactérie à l’éléphant », et « du génome à la planète »....
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.

LMIOCE_WQ_Curuai_Floodplain_profiles.tab

Feb 14, 2023 - Surface water quality (2013-2017) - Curuai floodplain, Brazil, Pará

Tabular Data - 697.6 KB - 1 Variables, 8323 Observations -

Data

Physico-chemical vertical profiles

LMIOCE_WQ_Curuai_Floodplain_sampledata.tab

Feb 14, 2023 - Surface water quality (2013-2017) - Curuai floodplain, Brazil, Pará

Tabular Data - 127.1 KB - 42 Variables, 396 Observations -

Data

Water quality data from water samples collected at surface and for some of the stations, at several depths

UMR LPED(Aix-Marseille University, IRD - OSU PYTHEAS)

Feb 3, 2023

Laboratoire Population – Environnement – Développement Interdisciplinary laboratory for the development of research at the interface between Social Sciences and Environmental Sciences

UMR CEFE(CNRS, EPHE, IRD, Univ. Montpellier)

Jan 31, 2023

Le Centre d’Ecologie Fonctionnelle et Evolutive est un des plus importants laboratoires de recherche en Ecologie en France. Le projet du CEFE vise à comprendre la dynamique, le fonctionnement et l’évolution du vivant, de «la bactérie à l’éléphant », et « du génome à la planète »....

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.

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