Open dataset of RGB and thermal images of roe deer in grasslands
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F06632581%3A_____%2F25%3AN0000004" target="_blank" >RIV/06632581:_____/25:N0000004 - isvavai.cz</a>
Result on the web
<a href="https://fly4future.com/TQ16000038-v7" target="_blank" >https://fly4future.com/TQ16000038-v7</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Open dataset of RGB and thermal images of roe deer in grasslands
Original language description
The output V7 of the TQ16000038 project is an open dataset of image data capturing roe deer and persons involved in their rescue in permanent grasslands (meadows), acquired in both RGB and thermal spectra. The dataset was intentionally created as a supporting resource for research and development of automated roe deer detection technologies and is primarily intended for the training, validation, and testing of machine learning and neural network models within the development of a software solution. The dataset comprises images captured at various times of day and under diverse climatic conditions, thereby encompassing a broad range of real-world operational scenarios and enhancing the robustness of the developed detection algorithms. An integral part of the dataset consists of detailed annotations localizing roe deer and other relevant objects within the images, provided in the form of bounding boxes and pixel masks. The dataset is structured into two separate subsets, categorized by the type of sensor used (RGB and thermal data), and contains a total of 58,300 images.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
<a href="/en/project/TQ16000038" target="_blank" >TQ16000038: Sustainable Farming: Energy-efficient UAV Technologies for Precision Agriculture</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů