update license to cc-by-sa-4.0

README.md

@@ -1,104 +1,104 @@
----
-language:
-- en
-license: mit
-tags:
-- biology
-- marine
-- multi-object-tracking
-- video
-- underwater
-annotations_creators:
-- expert-generated
-pretty_name: DeepSea MOT
-size_categories:
-- n<1K
-- 1K<n<10K
-- 10K<n<100K
-task_categories:
-- object-detection
----
-
-# DeepSea MOT
-
-**DeepSea MOT** is a benchmark dataset for multi-object tracking on deep-sea video.
-
-## Dataset Description
-
-DeepSea MOT consists of 4 video sequences (2 midwater, 2 benthic) with a total of 2,400 frames and 57,376 annotated objects comprising 188 tracks. The videos were captured by the [Monterey Bay Aquarium Research Institute (MBARI)](https://www.mbari.org/) using remotely operated vehicles (ROVs) [*Doc Ricketts*](https://www.mbari.org/technology/rov-doc-ricketts/) and [*Ventana*](https://www.mbari.org/technology/rov-ventana/) in deep-sea environments, showcasing a variety of marine species and underwater scenes.
-
-- **Paper:** https://arxiv.org/abs/TBD
-- **Workflow:** https://docs.mbari.org/benchmark_eval/
-
-## File Structure
-
-The dataset is organized as follows:
-
-```
-data/
-├── vidseq_names.txt          # TrackEval sequence names file
-├── BD/                       # Benthic Difficult sequence
-│   ├── BD.mov                # Source video file
-│   ├── gt.txt                # MOT Challenge format ground truth
-│   ├── seqinfo.ini           # TrackEval sequence information
-│   ├── images/               # Frame images (JPG format)
-│   │   ├── BD_001.jpg
-│   │   ├── BD_002.jpg
-│   │   └── ...
-│   ├── labels/               # YOLO-formatted annotation files (TXT)
-│   └── xml/                  # Pascal VOC annotation files (from RectLabel)
-├── BS/                       # Benthic Simple sequence
-│   ├── BS.mov
-│   ├── gt.txt
-│   ├── seqinfo.ini
-│   ├── images/
-│   ├── labels/
-│   └── xml/
-├── MWD/                      # Midwater Difficult sequence
-│   ├── MWD.mov
-│   ├── gt.txt
-│   ├── seqinfo.ini
-│   ├── images/
-│   ├── labels/
-│   └── xml/
-└── MWS/                      # Midwater Simple sequence
-    ├── MWS.mov
-    ├── gt.txt
-    ├── seqinfo.ini
-    ├── images/
-    ├── labels/
-    └── xml/
-```
-
-Each sequence directory contains:
-- **Source video** (`.mov`): Original ROV footage
-- **Ground truth** (`gt.txt`): MOT Challenge format annotations for tracking evaluation
-- **Sequence info** (`seqinfo.ini`): Metadata file for TrackEval compatibility
-- **Images** (`images/`): Individual frame extractions in JPG format
-- **YOLO labels** (`labels/`): Object detection annotations in YOLO format (TXT files)
-- **Pascal VOC** (`xml/`): Object detection annotations in Pascal VOC format (generated via [RectLabel](https://rectlabel.com/))
-
-## Additional Information
-
-### Dataset Curators
-
-Authors of [[1]](https://arxiv.org/abs/TBD):
-
-- Kevin Barnard
-- Elaine Liu
-- Kristine Walz
-- Brian Schlining
-- Nancy Jacobsen Stout
-- Lonny Lundsten
-
-### Citation Information
-
-```bibtex
-@article{barnard2025deepseamot,
-    author = {Barnard, Kevin and Liu, Elaine and Walz, Kristine and Schlining, Brian and Stout, Nancy Jacobsen and Lundsten, Lonny},
-    title = { {DeepSea MOT}: A benchmark dataset for multi-object tracking on deep-sea video},
-    year = {2025},
-    journal = {arXiv preprint arXiv:2501.XXXXX},
-    doi = {10.48550/arXiv.2501.XXXXX},
-}
+---
+language:
+- en
+license: cc-by-sa-4.0
+tags:
+- biology
+- marine
+- multi-object-tracking
+- video
+- underwater
+annotations_creators:
+- expert-generated
+pretty_name: DeepSea MOT
+size_categories:
+- n<1K
+- 1K<n<10K
+- 10K<n<100K
+task_categories:
+- object-detection
+---
+
+# DeepSea MOT
+
+**DeepSea MOT** is a benchmark dataset for multi-object tracking on deep-sea video.
+
+## Dataset Description
+
+DeepSea MOT consists of 4 video sequences (2 midwater, 2 benthic) with a total of 2,400 frames and 57,376 annotated objects comprising 188 tracks. The videos were captured by the [Monterey Bay Aquarium Research Institute (MBARI)](https://www.mbari.org/) using remotely operated vehicles (ROVs) [*Doc Ricketts*](https://www.mbari.org/technology/rov-doc-ricketts/) and [*Ventana*](https://www.mbari.org/technology/rov-ventana/) in deep-sea environments, showcasing a variety of marine species and underwater scenes.
+
+- **Paper:** https://arxiv.org/abs/TBD
+- **Workflow:** https://docs.mbari.org/benchmark_eval/
+
+## File Structure
+
+The dataset is organized as follows:
+
+```
+data/
+├── vidseq_names.txt          # TrackEval sequence names file
+├── BD/                       # Benthic Difficult sequence
+│   ├── BD.mov                # Source video file
+│   ├── gt.txt                # MOT Challenge format ground truth
+│   ├── seqinfo.ini           # TrackEval sequence information
+│   ├── images/               # Frame images (JPG format)
+│   │   ├── BD_001.jpg
+│   │   ├── BD_002.jpg
+│   │   └── ...
+│   ├── labels/               # YOLO-formatted annotation files (TXT)
+│   └── xml/                  # Pascal VOC annotation files (from RectLabel)
+├── BS/                       # Benthic Simple sequence
+│   ├── BS.mov
+│   ├── gt.txt
+│   ├── seqinfo.ini
+│   ├── images/
+│   ├── labels/
+│   └── xml/
+├── MWD/                      # Midwater Difficult sequence
+│   ├── MWD.mov
+│   ├── gt.txt
+│   ├── seqinfo.ini
+│   ├── images/
+│   ├── labels/
+│   └── xml/
+└── MWS/                      # Midwater Simple sequence
+    ├── MWS.mov
+    ├── gt.txt
+    ├── seqinfo.ini
+    ├── images/
+    ├── labels/
+    └── xml/
+```
+
+Each sequence directory contains:
+- **Source video** (`.mov`): Original ROV footage
+- **Ground truth** (`gt.txt`): MOT Challenge format annotations for tracking evaluation
+- **Sequence info** (`seqinfo.ini`): Metadata file for TrackEval compatibility
+- **Images** (`images/`): Individual frame extractions in JPG format
+- **YOLO labels** (`labels/`): Object detection annotations in YOLO format (TXT files)
+- **Pascal VOC** (`xml/`): Object detection annotations in Pascal VOC format (generated via [RectLabel](https://rectlabel.com/))
+
+## Additional Information
+
+### Dataset Curators
+
+Authors of [[1]](https://arxiv.org/abs/TBD):
+
+- Kevin Barnard
+- Elaine Liu
+- Kristine Walz
+- Brian Schlining
+- Nancy Jacobsen Stout
+- Lonny Lundsten
+
+### Citation Information
+
+```bibtex
+@article{barnard2025deepseamot,
+    author = {Barnard, Kevin and Liu, Elaine and Walz, Kristine and Schlining, Brian and Stout, Nancy Jacobsen and Lundsten, Lonny},
+    title = { {DeepSea MOT}: A benchmark dataset for multi-object tracking on deep-sea video},
+    year = {2025},
+    journal = {arXiv preprint arXiv:2501.XXXXX},
+    doi = {10.48550/arXiv.2501.XXXXX},
+}
 ```