Datasets:

imageomics
/

mmla_opc

+---
+license: cc0-1.0
+language:
+- en
+pretty_name: wildwing_opc
+task_categories: [image-classification]
+tags:
+- biology
+- image
+- animals
+- CV
+- drone
+- zebra
+size_categories: 10K<n<100K
+---
+# Dataset Card for wildwing-opc
+<!-- Provide a quick summary of what the dataset is or can be used for. -->
+## Dataset Details
+This is a dataset containing annotated video frames of Plains zebras collected at the Ol Pejeta Conservancy (OPC) in Kenya using the autonomous WildWing system. The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. The dataset includes frames from various sessions, with annotations indicating the presence of zebras in the images in COCO format. The dataset is designed to facilitate research in wildlife monitoring and conservation using advanced imaging technologies.
+### Dataset Description
+- **Curated by:** Jenna Kline
+- **Homepage:** [wildwing](https://imageomics.github.io/wildwing/)
+- **Repository:** [https://github.com/Imageomics/wildwing](https://github.com/Imageomics/wildwing)
+- **Paper:** [WildWing: An open-source, autonomous and affordable UAS for animal behaviour video monitoring](https://doi.org/10.1111/2041-210X.70018)
+<!-- Provide a longer summary of what this dataset is. -->
+This dataset contains video frames collected from the [WildWing system](https://imageomics.github.io/wildwing/), which is an autonomous drone designed for wildlife monitoring.
+The dataset includes frames from multiple sessions, over two days of data collection, 2025-01-31 and 2025-02-01, with a total of 5 videos. Each session captures video footage of Plains zebras in their natural habitat at the Ol Pejeta Conservancy in Kenya.
+The dataset consists of 29,268 frames. Each frame is accompanied by annotations in COCO format, indicating the presence of zebras and their bounding boxes within the images. The annotations were completed manually by the dataset curator using [CVAT](https://www.cvat.ai/) and [kabr-tools](https://github.com/Imageomics/kabr-tools).
+The dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery.
+| Session | Date Collected | Video ID  | Total Frames | Size (pixels) |
+|---------|---------------|-----------|--------------|---------------|
+| `session_1`       | 2025-01-31    | P0800081  | 5,949        | 3840x2160     |
+| `session_1`       | 2025-01-31    | P0830086  | 2,439        | 3840x2160     |
+| `session_1`       | 2025-01-31    | P0840087  | 4,461        | 4096x2160     |
+| `session_1`       | 2025-01-31    | P0860090  | 1,754        | 3840x2160     |
+| `session_1`       | 2025-01-31    | P0870091  | 2,123        | 4096x2160     |
+| `session_2`       | 2025-02-01    | P0910095  | 5,978        | 4096x2160     |
+| `session_2`       | 2025-02-01    | P0940098  | 6,564        | 4096x2160     |
+| **Total Frames:** |  |  | **29,268** |  |
+## Dataset Structure
+```
+/dataset/
+    <20250131>/
+        <classes.txt>
+        <video_id_20250311 1>.jpg
+         <video_id_20250311 1>.txt
+        <video_id_20250311 2>.jpg
+        ...
+        <video_id_20250311 n>.jpg
+        <video_id_20250311 n>.txt
+    <20250201>/
+        <classes.txt>
+        <video_id_20250201 1>.jpg
+        <video_id_20250201 1>.txt
+        <video_id_20250201 2>.jpg
+        ...
+        <video_id_20250201 n>.jpg
+        <video_id_20250201 n>.txt
+    metadata.csv
+```
+### Data Instances
+All images are names <video_id>.jpg, each within a folder named for the date of the session. The annotations are in COCO format and are stored in a corresponding .txt file with the same name as the image. 2025-01-31 and 2025-02-01 are the two days of data collection, with a total of 7 sessions. 2025-01-31 has 5 sessions and 2025-02-01 has 2 sessions.
+### Data Fields
+**classes.txt**:
+  - `0`: zebra
+**frame_id.txt**:
+  - `class`: Class of the object in the image (0 for zebra)
+  - `x_center`: X coordinate of the center of the bounding box (normalized to [0, 1])
+  - `y_center`: Y coordinate of the center of the bounding box (normalized to [0, 1])
+  - `width`: Width of the bounding box (normalized to [0, 1])
+  - `height`: Height of the bounding box (normalized to [0, 1])
+<!-- ### Data Splits
+[More Information Needed] -->
+<!--
+Give your train-test splits for benchmarking; could be as simple as "split is indicated by the `split` column in the metadata file: `train`, `val`, or `test`." Or perhaps this is just the training dataset and other datasets were used for testing (you may indicate which were used).
+-->
+## Dataset Creation
+### Curation Rationale
+<!-- Motivation for the creation of this dataset. For instance, what you intended to study and why that required curation of a new dataset (or if it's newly collected data and why the data was collected (intended use)), etc. -->
+The dataset was created to facilitate research in wildlife monitoring and conservation using advanced imaging technologies. The goal is to develop and evaluate computer vision models that can accurately detect and classify animals from drone imagery, and their generalizability across different species and environments.
+<!-- ### Source Data -->
+<!-- This section describes the source data (e.g., news text and headlines, social media posts, translated sentences, ...). As well as an original source it was created from (e.g., sampling from Zenodo records, compiling images from different aggregators, etc.) -->
+#### Data Collection and Processing
+<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, re-sizing of images, tools and libraries used, etc.
+This is what _you_ did to it following collection from the original source; it will be overall processing if you collected the data initially.
+-->
+The data was collected using the WildWing system, which autonomously captures video footage of wildlife in their natural habitat. The data collection process involved flying the drone over the Ol Pejeta Conservancy in Kenya, where Plains zebras were observed. The missions were flown during the WildDrone Hackathon in January 2025, with the goal of capturing high-quality video footage for analysis.
+The videos were annotated manually using the Computer Vision Annotation Tool (CVAT) and the kabr-tools library. These detection annotations and original video files were then processed to extract individual frames, which were saved as JPEG images. The annotations were converted to COCO format, with bounding boxes indicating the presence of zebras in each frame.
+<!-- #### Who are the source data producers?
+[More Information Needed] -->
+<!-- This section describes the people or systems who originally created the data.
+Ex: This dataset is a collection of images taken of the butterfly collection housed at the Ohio State University Museum of Biological Diversity. The associated labels and metadata are the information provided with the collection from biologists that study butterflies and supplied the specimens to the museum.
+ -->
+### Annotations
+<!--
+If the dataset contains annotations which are not part of the initial data collection, use this section to describe them.
+Ex: We standardized the taxonomic labels provided by the various data sources to conform to a uniform 7-rank Linnean structure. (Then, under annotation process, describe how this was done: Our sources used different names for the same kingdom (both _Animalia_ and _Metazoa_), so we chose one for all (_Animalia_). -->
+#### Annotation process
+CVAT and kabr-tools were used to annotate the video frames. The annotation process involved manually labeling the presence of zebras in each frame, drawing bounding boxes around them, and converting the annotations to COCO format.
+<!-- This section describes the annotation process such as annotation tools used, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
+#### Who are the annotators?
+Jenna Kline
+<!-- This section describes the people or systems who created the annotations. -->
+### Personal and Sensitive Information
+The dataset was cleaned to remove any personal or sensitive information. All images are of Plains zebras in their natural habitat, and no identifiable human subjects are present in the dataset.
+<!--
+For instance, if your data includes people or endangered species. -->
+<!-- ## Considerations for Using the Data
+[More Information Needed]
+<!--
+Things to consider while working with the dataset. For instance, maybe there are hybrids and they are labeled in the `hybrid_stat` column, so to get a subset without hybrids, subset to all instances in the metadata file such that `hybrid_stat` is _not_ "hybrid".
+-->
+<!-- ### Bias, Risks, and Limitations
+[More Information Needed] -->
+<!-- This section is meant to convey both technical and sociotechnical limitations. Could also address misuse, malicious use, and uses that the dataset will not work well for.-->
+<!-- For instance, if your data exhibits a long-tailed distribution (and why). -->
+<!-- ### Recommendations
+[More Information Needed]
+This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+## Licensing Information
+This dataset (the compilation) has been marked as dedicated to the public domain by applying the [CC0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/). However, images may be licensed under different terms (as noted above).
+## Citation
+**BibTeX:**
+**Data**
+```
+@misc{wildwing_opc,
+  author = {Kline, Jenna and
+            Nguyen Ngoc, Dat and
+            Hine, Duncan and
+            Rondeau Saint-Jean, Camille and
+            Maalouf, Guy and
+            Juma, Brenda and
+            Kilwaya, Alex and
+            Vuyiya, Brian and
+            Macharia, Irungu and
+            Njoroge, William and
+            Mutisya, Samuel and
+            Guerin, David and
+            Costelloe, Blair and
+            Pastucha, Elzbieta and
+            Hermansen, Jussi and
+            Jensen, Kjeld and
+            Watson, Matt and
+            Richardson, Tom and
+            Pagh Schultz Lundquist, Ulrik
+          },
+  title = {WildWing Ol Pejeta Conservancy (OPC) Dataset},
+  year = {2025},
+  url = {https://huggingface.co/datasets/imageomics/wildwing-opc},
+  doi = {<doi once generated>},
+  publisher = {Hugging Face}
+}
+```
+## Acknowledgements
+This work was supported by the [WildDroneEU Project](https://wilddrone.eu). WildDrone is an MSCA Doctoral Network funded by the European Union’s Horizon Europe research and innovation funding programme under the Marie Skłodowska-Curie grant agreement no. 101071224.
+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).
+This work was supported by the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment [ICICLE](https://icicle.osu.edu/), which is funded by the US National Science Foundation under grant number OAC-2112606.
+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.
+<!-- You may also want to credit the source of your data, i.e., if you went to a museum or nature preserve to collect it. -->
+<!-- ## Glossary  -->
+<!-- [optional] If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+## More Information
+The data was collected under Kenya Civil Aviation Authority (KCAA) permit number KCAA/UAS/OPS/0048/2025. The data collection was conducted in collaboration with the Ol Pejeta Conservancy and the WildDrone Hackathon team in accordance with Research License No. NACOSTI/P/25/415376.
+<!-- [optional] Any other relevant information that doesn't fit elsewhere. -->
+## Dataset Card Authors
+Jenna Kline
+## Dataset Card Contact
+kline.377 at osu.edu
+<!-- Could include who to contact with questions, but this is also what the "Discussions" tab is for. -->