From aa7803fbf83479962b0f8935552cb71c40e4a9a7 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Fri, 6 Dec 2024 04:56:38 +0000 Subject: [PATCH] Updated datasets 2024-12-06 UTC --- aws_geo_datasets.json | 96 +++++++++++++++++++++++++++++++++++ aws_geo_datasets.tsv | 3 ++ datasets/man-truckscenes.yaml | 67 ++++++++++++++++++++++++ 3 files changed, 166 insertions(+) create mode 100644 datasets/man-truckscenes.yaml diff --git a/aws_geo_datasets.json b/aws_geo_datasets.json index e5c3358..d5620ec 100644 --- a/aws_geo_datasets.json +++ b/aws_geo_datasets.json @@ -6798,6 +6798,102 @@ "Host": null, "AccountRequired": null }, + { + "Name": "MAN TruckScenes - MAN TruckScenes mini", + "Description": "MAN TruckScenes mini", + "ARN": "arn:aws:s3:::man-truckscenes/release/mini/", + "Region": "eu-central-1", + "Type": "S3 Bucket", + "Documentation": "https://www.man.eu/truckscenes", + "Contact": "truckscenes@man.eu", + "ManagedBy": "[MAN Truck and Bus SE](https://www.man.eu)", + "UpdateFrequency": "The dataset may be updated with additional or corrected data on a need-to-update basis.", + "License": "[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)", + "Tags": [ + "autonomous vehicles", + "radar", + "lidar", + "IMU", + "GPS", + "computer vision", + "machine learning", + "deep learning", + "perception", + "object detection", + "object tracking", + "transportation", + "logistics", + "robotics" + ], + "RequesterPays": null, + "Explore": null, + "Host": null, + "AccountRequired": null + }, + { + "Name": "MAN TruckScenes - MAN TruckScenes test", + "Description": "MAN TruckScenes test", + "ARN": "arn:aws:s3:::man-truckscenes/release/test/", + "Region": "eu-central-1", + "Type": "S3 Bucket", + "Documentation": "https://www.man.eu/truckscenes", + "Contact": "truckscenes@man.eu", + "ManagedBy": "[MAN Truck and Bus SE](https://www.man.eu)", + "UpdateFrequency": "The dataset may be updated with additional or corrected data on a need-to-update basis.", + "License": "[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)", + "Tags": [ + "autonomous vehicles", + "radar", + "lidar", + "IMU", + "GPS", + "computer vision", + "machine learning", + "deep learning", + "perception", + "object detection", + "object tracking", + "transportation", + "logistics", + "robotics" + ], + "RequesterPays": null, + "Explore": null, + "Host": null, + "AccountRequired": null + }, + { + "Name": "MAN TruckScenes - MAN TruckScenes trainval", + "Description": "MAN TruckScenes trainval", + "ARN": "arn:aws:s3:::man-truckscenes/release/trainval/", + "Region": "eu-central-1", + "Type": "S3 Bucket", + "Documentation": "https://www.man.eu/truckscenes", + "Contact": "truckscenes@man.eu", + "ManagedBy": "[MAN Truck and Bus SE](https://www.man.eu)", + "UpdateFrequency": "The dataset may be updated with additional or corrected data on a need-to-update basis.", + "License": "[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)", + "Tags": [ + "autonomous vehicles", + "radar", + "lidar", + "IMU", + "GPS", + "computer vision", + "machine learning", + "deep learning", + "perception", + "object detection", + "object tracking", + "transportation", + "logistics", + "robotics" + ], + "RequesterPays": null, + "Explore": null, + "Host": null, + "AccountRequired": null + }, { "Name": "MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 - Imagery and metadata", "Description": "Imagery and metadata", diff --git a/aws_geo_datasets.tsv b/aws_geo_datasets.tsv index 59a200f..a33930d 100644 --- a/aws_geo_datasets.tsv +++ b/aws_geo_datasets.tsv @@ -248,6 +248,9 @@ KyFromAbove on AWS - The data in this bucket includes spot elevations for the en KyFromAbove on AWS - There are three data resources in this folder - 1) KyTopo Map Series quadrangles There are three data resources in this folder - 1) KyTopo Map Series quadrangles arn:aws:s3:::kyfromabove/elevation/KyTopoMapSeries/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation False ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/KyTopoMapSeries/)'] KyFromAbove on AWS - Topographic contours created from the KyFromAbove Phase 1 LiDAR-derived digital Topographic contours created from the KyFromAbove Phase 1 LiDAR-derived digital arn:aws:s3:::kyfromabove/elevation/Contours/ us-west-2 S3 Bucket https://github.com/awslabs/open-data-docs/tree/main/docs/kyfromabove More information regarding the KyFromAbove program can be found at https://kyfro [Kentucky Division of Geographic Information](https://kygeonet.ky.gov) KyFromAbove data is typically updated on an annual basis. Each year, a portion o Public Domain with Attribution aws-pds, earth observation, aerial imagery, geospatial, lidar, elevation False ['[Browse Bucket](https://kyfromabove.s3.us-west-2.amazonaws.com/index.html#elevation/Contours/)'] Low Altitude Disaster Imagery (LADI) Dataset LADI dataset: images and labels arn:aws:s3:::ladi us-west-2 S3 Bucket https://github.com/LADI-Dataset/ladi-overview ladi-dataset-admin@mit.edu [MIT Lincoln Laboratory Humanitarian Assistance and Disaster Relief group](https Periodically Creative Commons Attribution 4.0 International (CC BY 4.0) aws-pds, aerial imagery, coastal, computer vision, disaster response, earth observation, earthquakes, geospatial, imaging, image processing, infrastructure, land, machine learning, mapping, natural resource, seismology, transportation, urban, water +MAN TruckScenes - MAN TruckScenes mini MAN TruckScenes mini arn:aws:s3:::man-truckscenes/release/mini/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics +MAN TruckScenes - MAN TruckScenes test MAN TruckScenes test arn:aws:s3:::man-truckscenes/release/test/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics +MAN TruckScenes - MAN TruckScenes trainval MAN TruckScenes trainval arn:aws:s3:::man-truckscenes/release/trainval/ eu-central-1 S3 Bucket https://www.man.eu/truckscenes truckscenes@man.eu [MAN Truck and Bus SE](https://www.man.eu) The dataset may be updated with additional or corrected data on a need-to-update [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) autonomous vehicles, radar, lidar, IMU, GPS, computer vision, machine learning, deep learning, perception, object detection, object tracking, transportation, logistics, robotics MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 - Imagery and metadata Imagery and metadata arn:aws:s3:::astraea-opendata us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 - New data notifications New data notifications arn:aws:sns:us-west-2:791757209086:astraea-opendata-events us-west-2 SNS Topic Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response MODIS MYD13A1, MOD13A1, MYD11A1, MOD11A1, MCD43A4 - S3 Inventory files for MCD43A4 S3 Inventory files for MCD43A4 arn:aws:s3:::astraea-opendata-inventory/astraea-opendata/modis-assets-MCD43A4 us-west-2 S3 Bucket Documentation is available for this data at the [s22s/astraea-opendata GitHub re https://astraea.earth/ [Astraea](https://astraea.earth/) New scenes are added daily. There are no restrictions on the use of data, unless expressly identified prior aws-pds, agriculture, geospatial, satellite imagery, natural resource, disaster response True diff --git a/datasets/man-truckscenes.yaml b/datasets/man-truckscenes.yaml new file mode 100644 index 0000000..46f215f --- /dev/null +++ b/datasets/man-truckscenes.yaml @@ -0,0 +1,67 @@ +Name: MAN TruckScenes +Description: + A large scale multimodal dataset for Autonomous Trucking. + Sensor data was recorded with a heavy truck from MAN equipped with 6 lidars, 6 radars, 4 cameras and a high-precision GNSS. + MAN TruckScenes allows the research community to come into contact with truck-specific challenges, such as trailer occlusions, novel sensor perspectives, and terminal environments for the first time. + + It comprises more than 740 scenes of 20s each within a multitude of different environmental conditions. + Bounding boxes are available for 27 object classes, 15 attributes, and a range of more than 230m. + The scenes are tagged according to 34 distinct scene tags, and all objects are tracked throughout the scene to promote a wide range of applications. +Documentation: https://www.man.eu/truckscenes +Contact: truckscenes@man.eu +ManagedBy: "[MAN Truck and Bus SE](https://www.man.eu)" +UpdateFrequency: The dataset may be updated with additional or corrected data on a need-to-update basis. +Tags: + - autonomous vehicles + - radar + - lidar + - IMU + - GPS + - computer vision + - machine learning + - deep learning + - perception + - object detection + - object tracking + - transportation + - logistics + - robotics +License: "[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)" +Resources: + - Description: MAN TruckScenes mini + ARN: arn:aws:s3:::man-truckscenes/release/mini/ + Region: eu-central-1 + Type: S3 Bucket + - Description: MAN TruckScenes trainval + ARN: arn:aws:s3:::man-truckscenes/release/trainval/ + Region: eu-central-1 + Type: S3 Bucket + - Description: MAN TruckScenes test + ARN: arn:aws:s3:::man-truckscenes/release/test/ + Region: eu-central-1 + Type: S3 Bucket +DataAtWork: + Tutorials: + - Title: TruckScenes devkit tutorial + URL: https://github.com/TUMFTM/truckscenes-devkit/tree/main + NotebookURL: https://github.com/TUMFTM/truckscenes-devkit/blob/main/tutorials/truckscenes_tutorial.ipynb + AuthorName: Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin + AuthorURL: + Services: + Tools & Applications: + - Title: TruckScenes devkit + URL: https://github.com/TUMFTM/truckscenes-devkit + AuthorName: Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin + AuthorURL: + - Title: PyPi package + URL: https://pypi.org/project/truckscenes-devkit/ + AuthorName: Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin + AuthorURL: + Publications: + - Title: "MANTruckScenes: A multimodal dataset for autonomous trucking in diverse conditions" + URL: https://arxiv.org/pdf/2407.07462 + AuthorName: Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, et al + AuthorURL: +ADXCategories: + - Automotive Data + - Environmental Data \ No newline at end of file