TrainingDataPro's picture
Update README.md
8ffd968 verified
|
raw
history blame
2.71 kB
---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- image-classification
- object-detection
tags:
- code
dataset_info:
features:
- name: id
dtype: int32
- name: image
dtype: image
- name: mask
dtype: image
- name: bboxes
dtype: string
splits:
- name: train
num_bytes: 5428811
num_examples: 27
download_size: 5391503
dataset_size: 5428811
---
# Pigs Detection Dataset
The dataset is a collection of images along with corresponding bounding box annotations that are specifically curated for **detecting pigs' heads** in images. The dataset covers different *pig breeds, sizes, and orientations*, providing a comprehensive representation of pig appearances.
The pig detection dataset provides a valuable resource for researchers working on pig detection tasks. It 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.
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F4a3e82f15a9ba03a671ed899536d6df1%2Fsssss.png?generation=1691942997350634&alt=media)
# Get the dataset
### This is just an example of the data
Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/pigs-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=pigs-detection-dataset) to discuss your requirements, learn about the price and buy the dataset.
# Dataset structure
- **images** - contains of original images of pigs
- **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 pigs detection. For each point, the x and y coordinates are provided.
# Example of XML file structure
![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F43366efcae5881191e65f70e92ba706a%2Fcarbon.png?generation=1691942804196967&alt=media)
# Pig Detection might be made in accordance with your requirements.
## [**TrainingData**](https://trainingdata.pro/data-market/pigs-detection?utm_source=huggingface&utm_medium=cpc&utm_campaign=pigs-detection-dataset) 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**