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---
language:
- en
license: cc-by-nc-nd-4.0
task_categories:
- image-to-image
- object-detection
tags:
- code
- biology
dataset_info:
features:
- name: id
dtype: int32
- name: image
dtype: image
- name: mask
dtype: image
- name: bboxes
dtype: string
splits:
- name: train
num_bytes: 264264750
num_examples: 99
download_size: 263342766
dataset_size: 264264750
---
# Fish Tracking - Object Detection dataset
The collection of video frames, capturing various types of fish swimming in the water. The dataset includes fish of different colors, sizes and with different swimming speeds.
# 💴 For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=fish-tracking-dataset)** to buy the dataset
# Data Format
Each video frame from `images` folder is paired with an `annotations.xml` file that meticulously defines the tracking of each fish using bouunding boxes.
The data labeling is visualized in the `boxes` folder.
# Example of the XML-file
# Object tracking 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](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=fish-tracking-dataset)** to discuss your requirements, learn about the price and buy the dataset
# **[TrainingData](https://trainingdata.pro/datasets?utm_source=huggingface&utm_medium=cpc&utm_campaign=fish-tracking-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**
*keywords: animal recognition, animal detection, farming, fish recognition, fish detection, image-based recognition, fish images dataset, object detection, object tracking, deep learning, computer vision, animal contacts, images dataset, agriculture, fish species annotations, fish pond, pond water, sea, fish farms, environment, aquaculture production, bounding boxes* |