Table · dataset · 2024
BuckTales : A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
Listed in Edmond
The dataset contains UAV footage of wild antelopes (blackbucks) in grassland habitats.
Description
It can be mainly used for two tasks: Multi-object tracking (MOT) and Re-Identification (Re-ID). We provide annotations for the position of animals in each frame, allowing us to offer very long videos (up to 3 min) completely annotated while maintaining the identity of each animal in the video.
The Re-ID dataset offers two videos, that capture the movement of some animals simultaneously from two different UAVs. The Re-ID task is to find the same individual in two videos taken simultaneously from a slightly different perspective. The relevant paper will be published in the NeurIPS 2024 Dataset and Benchmarking Track. nips.cc/virtual/2024/poster/97563 Resolution: 5.4 K MOT: 12 videos ( MOT17 Format) Re-ID: 6 sets (each with a pair of drones) (Custom) Detection: 320 Images (COCO, YOLO)
Links
Where it is published
- Dataverse dataset page edmond.mpg.de/dataset.xhtml?persistentId=doi%3A10.17617%2F3.JCZ9WK ↗
landing page · from edmond mpdl mpg de
- DOI doi.org/10.17617/3.jcz9wk ↗
DOI / persistent id · from edmond mpdl mpg de
Catalogue records · 1
- Dataverse API edmond.mpg.de/api/datasets/:persistentId/?persistentId=doi%3A10.17617%2F3.JC… ↗
metadata API · from edmond mpdl mpg de
Topics
- Stated by source
- Biology · Biology · Computer Science, Systems and Electrical Engineering · Computer Science, Systems and Electrical Engineering
- From keywords
- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Computer Science & AI · Computer vision · Computer vision · Earth & Environmental Science · Economics & Finance · Engineering · Engineering · Humanities · Life Sciences · Life Sciences · Materials Science · Medicine & Health · Ocean & Atmospheric Science · Physics · Social Science
Provenance · 2 source records, 30 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Edmond | doi:10.17617/3.JCZ9WK | 13 d ago | JSON v1 |
| Edmond | doi:10.17617/3.JCZ9WK | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
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| concepts[field].local:field:astronomy | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:computer-science-ai | mapping · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /subjects |
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| concepts[field].local:field:earth-environmental | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:economics-finance | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
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| concepts[field].local:field:humanities | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
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| concepts[field].local:field:life-sciences | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
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| concepts[field].local:field:medicine-health | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
| concepts[field].local:field:ocean-atmospheric | mapping · edmond mpg de | connector:edmond_mpg_de@1.0.0 | /subjects |
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| concepts[modality].local:modality:video | enrichment · edmond mpdl mpg de | keyword-concept-rules@1.0.0 | title+description (75%) |
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| description | source · edmond mpdl mpg de | connector:edmond_mpdl_mpg_de@1.0.0 | /description |
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