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--- |
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language: |
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- en |
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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- image-to-image |
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- image-classification |
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- object-detection |
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tags: |
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- biology |
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- code |
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dataset_info: |
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features: |
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- name: id |
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dtype: int32 |
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- name: image |
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dtype: image |
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- name: mask |
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dtype: image |
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- name: bboxes |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 184108240 |
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num_examples: 51 |
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download_size: 183666433 |
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dataset_size: 184108240 |
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--- |
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# Cows Object Detection Dataset |
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The dataset is a collection of images along with corresponding bounding box annotations that are specifically curated for **detecting cows** in images. The dataset covers different *cows breeds, sizes, and orientations*, providing a comprehensive representation of cows appearances and positions. Additionally, the visibility of each cow is presented in the .xml file. |
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# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets/cows-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=cows-detection-dataset)** to buy the dataset |
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The cow detection dataset offers a diverse collection of annotated images, allowing for comprehensive algorithm development, evaluation, and benchmarking, ultimately aiding in the development of accurate and robust models. |
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# Dataset structure |
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- **images** - contains of original images of cows |
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- **boxes** - includes bounding box labeling for the original images |
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- **annotations.xml** - contains coordinates of the bounding boxes and labels, created for the original photo |
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# Data Format |
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Each image from `images` folder is accompanied by an XML-annotation in the `annotations.xml` file indicating the coordinates of the bounding boxes for cows detection. For each point, the x and y coordinates are provided. Visibility of the cow is also provided by the label **is_visible** (true, false). |
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# Example of XML file structure |
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.png?generation=1692032268744062&alt=media) |
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# Cows Detection might be made in accordance with your requirements. |
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# 💴 Buy the Dataset: This is just an example of the data. Leave a request on **[https://trainingdata.pro/datasets](https://trainingdata.pro/datasets/cows-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=cows-detection-dataset)** to discuss your requirements, learn about the price and buy the dataset |
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## **[TrainingData](https://trainingdata.pro/datasets/cows-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=cows-detection-dataset)** provides high-quality data annotation tailored to your needs |
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More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets** |
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TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets** |
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*keywords: farm animal, animal recognition, farm animal detection, image-based recognition, farmers, “on-farm” data, cows detection, cow images dataset, object detection, deep learning, computer vision, animal contacts, images dataset, agriculture, multiple animal pose estimation, cattle detection, identification, posture recognition, cattle images, individual beef cattle, cattle ranch, dairy cattle, farming, bounding boxes* |
