Revise dataset card to reflect MMLA source data

README.md

@@ -2,7 +2,7 @@
 license: cc0-1.0
 language:
 - en
-pretty_name: "KABR-poses: Pose Orientation Labels for Zebras in KABR Drone Footage"
+pretty_name: "MMLA Pose: Pose Orientation Labels for Zebras in MMLA Drone Footage"
 task_categories:
 - image-classification
 tags:
@@ -21,19 +21,21 @@ tags:
 - UAV
 - KABR
 - Mpala Research Centre
+- Ol Pejeta Conservancy
 - Kenya
+- Wilds
 size_categories:
 - n<1K
-description: "Cropped images of zebras from KABR drone footage labeled with one of eight pose orientations (front, front-left, left, back-left, back, back-right, right, front-right). Intended as training data for a pose / viewpoint classifier used in autonomous drone navigation around wildlife."
+description: "Cropped images of zebras from MMLA drone footage labeled with one of eight pose orientations (front, front-left, left, back-left, back, back-right, right, front-right). Intended as training data for a pose / viewpoint classifier used in autonomous drone navigation around wildlife."
 ---
 
-# Dataset Card for KABR-poses: Pose Orientation Labels for Zebras in KABR Drone Footage
+# Dataset Card for MMLA Pose: Pose Orientation Labels for Zebras in MMLA Drone Footage
 
-Cropped zebra images from KABR drone footage, manually labeled with one of eight discrete pose orientations relative to the camera. The dataset was curated to train a pose / viewpoint classifier (DINOv2 backbone + MLP head) for the [WildWing](https://github.com/Imageomics/wildwing) autonomous drone-navigation system, where knowing which side of an animal is visible drives both individual re-identification (matching against flank stripe patterns) and behavior-aware flight decisions (e.g., avoiding approaches from the front).
+Cropped zebra images from [MMLA](https://huggingface.co/collections/imageomics/mmla) drone footage, manually labeled with one of eight discrete pose orientations relative to the camera. The dataset was curated to train a pose / viewpoint classifier (DINOv2 backbone + MLP head) for the [WildWing](https://github.com/Imageomics/wildwing) autonomous drone-navigation system, where knowing which side of an animal is visible drives both individual re-identification (matching against flank stripe patterns) and behavior-aware flight decisions (e.g., avoiding approaches from the front).
 
-|![Pose Classes Reference](https://huggingface.co/datasets/imageomics/KABR-poses/resolve/main/_reference.png)|
+|![Pose Classes Reference](https://huggingface.co/datasets/imageomics/mmla-pose/resolve/main/_reference.png)|
 |:--|
-|**Figure 1.** [Pose classes reference diagram](https://huggingface.co/datasets/imageomics/KABR-poses/raw/main/_reference.png). The label indicates which flank of the zebra is visible to the camera, equivalently the direction the zebra's head is pointing relative to the camera. The dark circle in each icon marks the head. The camera/drone is positioned at the bottom of the diagram.|
+|**Figure 1.** [Pose classes reference diagram](https://huggingface.co/datasets/imageomics/mmla-pose/raw/main/_reference.png). The label indicates which flank of the zebra is visible to the camera, equivalently the direction the zebra's head is pointing relative to the camera. The dark circle in each icon marks the head. The camera/drone is positioned at the bottom of the diagram.|
 
 ## Dataset Details
 
@@ -41,12 +43,12 @@ Cropped zebra images from KABR drone footage, manually labeled with one of eight
 
 - **Curated by:** Claire Sun (curator), with the [Imageomics Institute](https://imageomics.org) and [WildWing](https://imageomics.github.io/wildwing/) project teams
 - **Language(s) (NLP):** en
-- **Homepage:** [KABR](https://imageomics.github.io/KABR/) and [WildWing](https://imageomics.github.io/wildwing/)
+- **Homepage:** [MMLA Project](https://imageomics.github.io/mmla/) and [WildWing](https://imageomics.github.io/wildwing/)
 - **Repository:** [WildWing Repo](https://github.com/Imageomics/wildwing)
-- **Related datasets:** [imageomics/KABR](https://huggingface.co/datasets/imageomics/KABR); [KABR raw videos](https://huggingface.co/datasets/imageomics/KABR-raw-videos) and [KABR mini-scene raw videos](https://huggingface.co/datasets/imageomics/KABR-mini-scene-raw-videos) (source drone footage)
+- **Related datasets:** [imageomics/mmla_mpala](https://huggingface.co/datasets/imageomics/mmla_mpala), [imageomics/mmla_opc](https://huggingface.co/datasets/imageomics/mmla_opc), and [imageomics/mmla_wilds](https://huggingface.co/datasets/imageomics/mmla_wilds) (source drone footage)
 - **Paper:** N/A (dataset release)
 
-This dataset contains 988 manually labeled 224x224 RGB crops of zebras observed in aerial drone footage from the [Mpala Research Centre](https://mpala.org/), Kenya. Each crop is assigned exactly one of eight pose-orientation labels describing which flank of the zebra is visible to the camera (equivalently, the direction of the zebra's head relative to the camera). An additional 35 ambiguous or unusable crops are preserved in a `_skip/` folder to document labeling decisions.
+This dataset contains 988 manually labeled 224x224 RGB crops of zebras observed in aerial drone footage from the [Mpala Research Centre](https://mpala.org/) and [Ol Pejeta Conservancy](https://www.olpejetaconservancy.org/) in Kenya, and at the [Wilds Conservation Center](https://www.thewilds.org/) in Ohio. Each crop is assigned exactly one of eight pose-orientation labels describing which flank of the zebra is visible to the camera (equivalently, the direction of the zebra's head relative to the camera). An additional 35 ambiguous or unusable crops are preserved in a `_skip/` folder to document labeling decisions.
 
 The labels were created to train the pose component of the [WildWing drone-navigation stack](https://imageomics.github.io/wildwing/). WildWing combines a YOLO-based animal detector with a pose classifier so the drone can reason about how each animal in its view is oriented and make better autonomous decisions about positioning. Reliable pose estimates are particularly important for individual re-identification of zebras, which depends on matching the lateral stripe pattern \- so the classifier needs to know when a useful side view (left or right profile) is available versus when the animal is facing toward or away from the camera.
 
@@ -59,7 +61,7 @@ Suggested evaluation: top-1 accuracy with per-class breakdown; expect most confu
 ## Dataset Structure
 
 ```
-KABR-poses/
+mmla-pose/
     _reference.png            # Visual diagram of the 8 pose classes
     front/                    # 49 images
     front-left/               # 84 images
@@ -131,12 +133,14 @@ The 8-class scheme is therefore designed to be both coarse enough to label relia
 
 #### Data Collection and Processing
 
-Source frames were drawn from the same drone footage used in the [KABR dataset](https://huggingface.co/datasets/imageomics/KABR), collected at the Mpala Research Centre in Kenya in January 2023 ([mini-scene raw videos](https://huggingface.co/datasets/imageomics/KABR-mini-scene-raw-videos) and [raw videos not used in mini-scenes](https://huggingface.co/datasets/imageomics/KABR-raw-videos)). Animals were detected in each frame with a YOLO v11 detector trained for aerial wildlife imagery (see [imageomics/mmla](https://huggingface.co/imageomics/mmla)), each bounding box was cropped from the source frame, and the resulting crops were resized to 224x224 for compatibility with the DINOv2 backbone used in the downstream classifier. Crops were sampled across multiple Mpala sessions and source videos to cover varying lighting conditions, terrain, herd densities, and altitudes.
+Source frames were drawn from the same drone footage used in the [MMLA Wilds](https://huggingface.co/datasets/imageomics/mmla_wilds), [MMLA Mpala](https://huggingface.co/datasets/imageomics/mmla_mpala), and [MMLA Ol Pejeta Conservancy](https://huggingface.co/datasets/imageomics/mmla_opc) datasets. Animals were detected in each frame with a YOLO v11 detector trained for aerial wildlife imagery (see [imageomics/mmla](https://huggingface.co/imageomics/mmla)), each bounding box was cropped from the source frame, and the resulting crops were resized to 224x224 for compatibility with the DINOv2 backbone used in the downstream classifier. Crops were sampled across multiple Mpala sessions and source videos to cover varying lighting conditions, terrain, herd densities, and altitudes.
 
 #### Who are the source data producers?
 
 The underlying drone footage was collected by the KABR team at the Mpala Research Centre. See the [KABR dataset card](https://huggingface.co/datasets/imageomics/KABR) and [paper](https://openaccess.thecvf.com/content/WACV2024W/CV4Smalls/papers/Kholiavchenko_KABR_In-Situ_Dataset_for_Kenyan_Animal_Behavior_Recognition_From_Drone_WACVW_2024_paper.pdf) for full provenance.
 
+[Add OPC and Wilds]
+
 ### Annotations
 
 #### Annotation process
@@ -182,26 +186,28 @@ This dataset is dedicated to the public domain under [CC0 1.0 Universal](https:/
 
 **Data**
 ```
-@misc{kabr-poses-2026,
+@misc{mmla-pose-2026,
   author       = {Sun, Claire and Kline, Jenna},
-  title        = {KABR-poses: Pose Orientation Labels for Zebras in KABR Drone Footage},
+  title        = {MMLA Pose: Pose Orientation Labels for Zebras in MMLA Drone Footage},
   year         = {2026},
-  url          = {https://huggingface.co/datasets/imageomics/KABR-poses},
+  url          = {https://huggingface.co/datasets/imageomics/mmla-pose},
   publisher    = {Hugging Face},
   doi          = {<add once generated>}
 }
 ```
 
-Please also cite the underlying KABR datasets ([raw videos](https://huggingface.co/datasets/imageomics/KABR-raw-videos) and [mini-scene raw videos](https://huggingface.co/datasets/imageomics/KABR-mini-scene-raw-videos)) and paper:
+Please also cite the underlying MMLA datasets ([MMLA Wilds](https://huggingface.co/datasets/imageomics/mmla_wilds), [MMLA Mpala](https://huggingface.co/datasets/imageomics/mmla_mpala), and [MMLA Ol Pejeta Conservancy](https://huggingface.co/datasets/imageomics/mmla_opc)) and paper:
 
-**Underlying drone footage (KABR)**
+**Underlying drone footage (MMLA)**
 ```
-@inproceedings{kholiavchenko2024kabr,
-  title     = {KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos},
-  author    = {Kholiavchenko, Maksim and Kline, Jenna and Ramirez, Michelle and Stevens, Sam and Sheets, Alec and Babu, Reshma and Banerji, Namrata and Campolongo, Elizabeth and Thompson, Matthew and Van Tiel, Nina and others},
-  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)},
-  year      = {2024},
-  url       = {https://openaccess.thecvf.com/content/WACV2024W/CV4Smalls/papers/Kholiavchenko_KABR_In-Situ_Dataset_for_Kenyan_Animal_Behavior_Recognition_From_Drone_WACVW_2024_paper.pdf}
+@misc{kline2025mmla,
+      title={MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset}, 
+      author={Jenna Kline and Samuel Stevens and Guy Maalouf and Camille Rondeau Saint-Jean and Dat Nguyen Ngoc and Majid Mirmehdi and David Guerin and Tilo Burghardt and Elzbieta Pastucha and Blair Costelloe and Matthew Watson and Thomas Richardson and Ulrik Pagh Schultz Lundquist},
+      year={2025},
+      eprint={2504.07744},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2504.07744}, 
 }
 ```
 
@@ -209,7 +215,7 @@ Please also cite the underlying KABR datasets ([raw videos](https://huggingface.
 
 This work was supported by the [Imageomics Institute](https://imageomics.org), which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under [Award #2118240](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2118240) (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
-Drone footage was collected at the [Mpala Research Centre](https://mpala.org/) in Kenya as part of the broader [KABR](https://huggingface.co/datasets/imageomics/KABR) data collection effort.
+Drone footage was collected at the [Mpala Research Centre](https://mpala.org/) in Kenya as part of the broader [KABR](https://huggingface.co/datasets/imageomics/KABR) data collection effort. It was also collected at [Ol Pejeta Conservancy](https://www.olpejetaconservancy.org/) in Kenya and at the [Wilds Conservation Center](https://www.thewilds.org/) in Ohio.
 
 ## Glossary
 
@@ -227,4 +233,4 @@ Claire Sun and Jenna Kline (Imageomics Institute / WildWing project).
 
 ## Dataset Card Contact
 
-Open a discussion in the [Community tab](https://huggingface.co/datasets/imageomics/KABR-poses/discussions) of this dataset.
+Open a discussion in the [Community tab](https://huggingface.co/datasets/imageomics/mmla-pose/discussions) of this dataset.