| --- |
| pretty_name: "Sarawak Wildlife Image Classification Dataset" |
| task_categories: |
| - image-classification |
| tags: |
| - image |
| - wildlife |
| - sarawak |
| - computer-vision |
| size_categories: |
| - n<1K |
| --- |
| |
| [简体中文](README.zh-CN.md) |
|
|
| # Sarawak Wildlife Image Classification Dataset |
|
|
| ## Overview |
|
|
| This dataset contains 865 JPG camera-trap wildlife images organised for multi-class image classification. It was prepared for the COS30019 Introduction to Artificial Intelligence Assignment 2, Scenario A: Wildlife Species Classification in Sarawak's National Parks using Camera Trap Images. |
|
|
| The dataset uses one folder per class. The folder name is the class label used by the project models. |
|
|
| ## Dataset Summary |
|
|
| | Item | Value | |
| | --- | --- | |
| | Task | Multi-class image classification | |
| | Images | 865 unique JPG images | |
| | Classes | 10 | |
| | On-disk size | Approximately 362 MB | |
| | Image labels | Parent folder names | |
| | Current included split | Training only | |
|
|
| ## Classes and Distribution |
|
|
| | Class label | Images | |
| | --- | ---: | |
| | bearded pig | 161 | |
| | leopard cat | 57 | |
| | long tailed macaque | 56 | |
| | malayan civet | 224 | |
| | marbled cat | 50 | |
| | munjact | 42 | |
| | pig tailed macaque | 55 | |
| | sambar deer | 91 | |
| | sun bear | 63 | |
| | yellow throated marten | 66 | |
| | **Total** | **865** | |
|
|
| `munjact` is retained exactly as the original project folder label. Changing it would change the label mapping used by the existing models. |
|
|
| ## Directory Structure |
|
|
| ```text |
| dataset/ |
| ├── README.md |
| ├── README.zh-CN.md |
| └── train/ |
| ├── bearded pig/ |
| ├── leopard cat/ |
| ├── long tailed macaque/ |
| ├── malayan civet/ |
| ├── marbled cat/ |
| ├── munjact/ |
| ├── pig tailed macaque/ |
| ├── sambar deer/ |
| ├── sun bear/ |
| └── yellow throated marten/ |
| ``` |
|
|
| ## Assignment Context and Compliance |
|
|
| The assignment scenario asks for wildlife classification in Sarawak using camera-trap images. It specifies at least five classes with 150 training images per class, and a typical development workflow with training, validation, and testing data. |
|
|
| This dataset has ten classes, but only `bearded pig` (161 images) and `malayan civet` (224 images) meet the 150-images-per-class training target. The remaining eight classes have fewer images. Therefore, the dataset does not yet meet that per-class requirement. |
|
|
| ## Split Notice |
|
|
| The original project also contains a separate `val` directory outside this dataset folder. Its 178 images are all byte-for-byte duplicates of images in `train`, so it is not included here as an independent validation split. |
|
|
| Before reporting model performance, create non-overlapping training, validation, and test splits from the 865 unique images. Images from the same camera-trap sequence should preferably stay in the same split to reduce leakage from near-duplicate frames. |
|
|
| ## Intended Use |
|
|
| This dataset is intended for: |
|
|
| - COS30019 coursework and demonstrations. |
| - Educational experiments in image classification. |
| - Prototype research on automated wildlife-image categorisation. |
|
|
| It must not be used as the only evidence for conservation, wildlife-management, law-enforcement, or safety decisions. |
|
|
| ## Limitations and Biases |
|
|
| - The classes are strongly imbalanced, from 42 `munjact` images to 224 `malayan civet` images. |
| - The dataset is small for deep learning and may encourage overfitting. |
| - The images may not represent all locations, seasons, lighting conditions, camera types, poses, or animal ages in Sarawak. |
| - The dataset has no independent validation or test split in its current published structure. |
| - Performance on this dataset may not generalise to other wildlife datasets or real-world deployments. |
|
|
| ## Data Source, Rights, and License |
|
|
| The image source, copyright holder, and redistribution permission have not been recorded in this repository. Do not publish the images publicly or select a Hugging Face license until the data owner and redistribution rights have been confirmed. |
|
|
| ## Citation |
|
|
| If you use this dataset, cite the original image source and the COS30019 Assignment 2 project. Add a formal citation here once the original data source is confirmed. |
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|
