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 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 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: 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