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Add short description for API access and fix some formatting

#2
by egrace479 - opened
Files changed (1) hide show
  1. README.md +11 -11
README.md CHANGED
@@ -2,7 +2,7 @@
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  license: cc0-1.0
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  language:
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  - en
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- pretty_name: mmla_wilds
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  task_categories: [image-classification]
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  tags:
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  - biology
@@ -12,10 +12,11 @@ tags:
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  - drone
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  - zebra
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  size_categories: 10K<n<100K
 
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  ---
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- # Dataset Card for mmla-wilds
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  <!-- Provide a quick summary of what the dataset is or can be used for. -->
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@@ -26,8 +27,8 @@ This is a dataset containing annotated video frames of giraffes, Grevy's zebras,
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  ### Dataset Description
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  - **Curated by:** Jenna Kline
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- - **Homepage:** [mmla](https://imageomics.github.io/mmla/)
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- - **Repository:** [https://github.com/imageomics/mmla](https://github.com/imageomics/mmla)
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  - **Paper:** [MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset](https://arxiv.org/abs/2504.07744)
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  <!-- Provide a longer summary of what this dataset is. -->
@@ -52,7 +53,7 @@ The dataset is intended for use in training and evaluating computer vision model
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  ## Dataset Structure
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- ```​
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  /dataset/
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  README.md
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  session_1/
@@ -127,7 +128,7 @@ Give your train-test splits for benchmarking; could be as simple as "split is in
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  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.
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- <!-- ### Source Data -->
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  <!-- 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.) -->
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@@ -192,8 +193,7 @@ This section is meant to convey recommendations with respect to the bias, risk,
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  ## Licensing Information
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- This dataset (the compilation) has been marked as dedicated to the public domain by applying the [CC0-1.0 Public Domain Waiver](https://creativecommons.org/publicdomain/zero/1.0/). However, images may be licensed under different terms (as noted above).
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-
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  ## Citation
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@@ -202,7 +202,7 @@ This dataset (the compilation) has been marked as dedicated to the public domain
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  **Data**
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- ```​
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  @misc{mmla_wilds,
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  author = { Jenna Kline,
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  Alison Zhong,
@@ -217,7 +217,7 @@ This dataset (the compilation) has been marked as dedicated to the public domain
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  ```
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  **Paper**
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- ```​
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  @misc{kline2025mmla,
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  title={MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset},
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  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},
@@ -232,7 +232,7 @@ This dataset (the compilation) has been marked as dedicated to the public domain
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  If you use this dataset, please cite the [WildWing video dataset](https://huggingface.co/datasets/imageomics/wildwingdeployment) used to generate data for sessions 2-4.
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  **Related Papers**
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- ```​
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  @article{kline2025wildwing,
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  title={WildWing: An open-source, autonomous and affordable UAS for animal behaviour video monitoring},
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  author={Kline, Jenna and Zhong, Alison and Irizarry, Kevyn and Stewart, Charles V and Stewart, Christopher and Rubenstein, Daniel I and Berger-Wolf, Tanya},
 
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  license: cc0-1.0
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  language:
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  - en
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+ pretty_name: "MMLA The Wilds"
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  task_categories: [image-classification]
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  tags:
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  - biology
 
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  - drone
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  - zebra
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  size_categories: 10K<n<100K
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+ description: "Annotated video frames of giraffes, Grevy's zebras, Persian onagers, and African Painted Dogs collected at The Wilds in Ohio. This dataset is intended for use in training and evaluating computer vision models for animal detection and classification from drone imagery. It includes frames from various sessions, with annotations indicating the presence of animals in the images in YOLO format, and is designed to facilitate research in wildlife monitoring and conservation using autonomous drones."
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  ---
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+ # Dataset Card for MMLA The Wilds
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  <!-- Provide a quick summary of what the dataset is or can be used for. -->
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  ### Dataset Description
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  - **Curated by:** Jenna Kline
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+ - **Homepage:** [MMLA website](https://imageomics.github.io/mmla/)
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+ - **Repository:** [imageomics/mmla](https://github.com/imageomics/mmla)
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  - **Paper:** [MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset](https://arxiv.org/abs/2504.07744)
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  <!-- Provide a longer summary of what this dataset is. -->
 
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  ## Dataset Structure
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+ ```
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  /dataset/
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  README.md
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  session_1/
 
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  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.
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+ ### Source Data
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  <!-- 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.) -->
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  ## Licensing Information
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+ This dataset is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the dataset and journal paper using the below citations if you make use of it in your research.
 
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  ## Citation
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  **Data**
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+ ```
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  @misc{mmla_wilds,
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  author = { Jenna Kline,
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  Alison Zhong,
 
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  ```
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  **Paper**
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+ ```
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  @misc{kline2025mmla,
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  title={MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset},
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  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},
 
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  If you use this dataset, please cite the [WildWing video dataset](https://huggingface.co/datasets/imageomics/wildwingdeployment) used to generate data for sessions 2-4.
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  **Related Papers**
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+ ```
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  @article{kline2025wildwing,
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  title={WildWing: An open-source, autonomous and affordable UAS for animal behaviour video monitoring},
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  author={Kline, Jenna and Zhong, Alison and Irizarry, Kevyn and Stewart, Charles V and Stewart, Christopher and Rubenstein, Daniel I and Berger-Wolf, Tanya},