Archive · dataset · 2022
An Annotated and Classified Maritime Dataset aimed at Machine Learning
Listed in INESC TEC Research Data Repository
In the context of the MSc dissertation "The Multi-Object Tracking with Multimodal Information for Autonomous Surface Vehicles", an annotated and classified maritime dataset was created in order to train a machine learning object detector.
Description
This dataset combines images from open-source datasets (such as the Singapore Maritime Dataset and the Kaggle Boat Types Recognition Dataset) while adding data collected with the Sense ASV in two portuguese ports (Leixões and Viana do Castelo).
The content is reorganised in 9 categories (ore carrier, bulk carrier, container ship, cruise ship, ferry boat, sail boat, fishing boat, small boat, uncategorized), grouping up some less represented categories from the previous datasets with similar characteristics. The resulting dataset, contains 9044 images and their respective 21170 annotations.
Links
Get the data
- Datasense@CRAS rdm.inesctec.pt/dataset/a66a57ad-fb72-4201-b5d4-839530734c4e/resource/c718ddff… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/nis-2022-001 ↗
landing page · from rdm inesctec pt
- DOI doi.org/10.1109/tmm.2018.2865686) ↗
DOI / persistent id · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=a66a57ad-fb72-4201-b5d4-839530734… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- NIS: Networked Intelligent Systems
- From keywords
- Computer Science & AI · Engineering · Ocean & Atmospheric Science
- Inferred from text
- Image 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | a66a57ad-fb72-4201-b5d4-839530734c4e | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:engineering | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · rdm inesctec pt | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[topic].ckan_group:rdm_inesctec_pt:nis-networked-intelligent-systems | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| created_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| description | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /notes |
| license_text | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| publication_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| title | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /title |
| updated_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 |