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Datasets:
UniqueData
/
cows-detection-dataset

Tasks:
Image-to-Image
Image Classification
Object Detection
Languages:
English
Tags:
biology
code
License:
Dataset card Files Community
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found cows-detection-dataset.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found cows-detection-dataset.py

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Cows Object Detection Dataset

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.

💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset

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.

Dataset structure

  • images - contains of original images of cows
  • boxes - includes bounding box labeling for the original images
  • annotations.xml - contains coordinates of the bounding boxes and labels, created for the original photo

Data Format

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).

Example of XML file structure

Cows Detection might be made in accordance with your requirements.

💴 Buy the Dataset: This is just an example of the data. Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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

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