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Recognition of common postures in lambs (ICV-TxLamb)
- Citation Author(s):
-
YairGonzález Baldizón
TecNM/IT Tuxtla GutiérrezMadainPérez-PatricioTecNM/IT Tuxtla GutiérrezClaudiaMendoza AvendañoTecNM/IT Tuxtla GutiérrezAndreaMagadánTecNM / CENIDETAliciaMorales-ReyesINAOE, Computer Science DepartmentE.N.Escobar-GómezTecNM/IT Tuxtla GutiérrezOscar M.Rodríguez-ElíasTecNM/IT HermosilloH.D.Vázquez-DelgadoTecNM/IT Tuxtla GutiérrezA.Fragoso-MandujanoTecNM/IT Tuxtla Gutiérrez - Submitted by:
- Yair Gonzalez B...
- Last updated:
- Mon, 06/05/2023 - 00:54
- DOI:
- 10.21227/3tyc-y227
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Abstract
Computer vision in animal monitoring has become a research application in stable or confined conditions.
Detecting animals from the top view is challenging due to barn conditions.
In this dataset called ICV-TxLamb, images are proposed for the monitoring of lamb inside a barn.
This set of data is made up of two categories, the first is lamb (classifies the only lamb), the second consists of four states of the posture of lambs, these are: eating, sleeping, lying down, and normal (standing or without activity ).
The added tags have been considered by the natural movements that the lamb makes in the observed scene.
In the content of the folder, there are two folders, one called "lamb" and the other "lamb Postures") previously labelled by the ICV-TX Group of TecNM / IT Tuxtla Gutiérrez, indicating the positions of the sheep such as Eating, Sleeping, Lying and Normal.
The dataset consists of images of lambs in different contexts and from a top view that contains a total of 2390 images with 6419 objects labelled in the two groups Lamb and Lamb Postures of Eating, Sleeping, Lying Down and Normal.
The labels were made using the open-source LabelImg tool which can store annotations in the machine learning annotation formats, YOLO, VOC, so both annotation formats are available. Image annotation consists of a position of the bounding box around each object of interest, the size of the bounding box in terms of width and height, and the corresponding class label (lamb, Eating, Sleeping, Lying, and Normal).
Note: The original dataset was compressed into parts of a .RAR file, but due to errors in loading large files and due to the platform requesting .zip files, it was compressed again in a ZIP folder with its corresponding name. The decompression of the two formats generates the DATASET folder. Sorry for breaking it down into so many small parts, it was just trying to upload one file.
Comments
The ICV-TxLamp dataset is being uploaded in small parts here in IEEE DATAPort.
The ICV-TxLamp tagged data set in its full version (1.2 Gb), you can request it in the contact email yair.gonzalez@ittuxtlagutierrez.edu.mx; indicating 1. The Institute / School / Organization, 2. The application of its use 3. information of contact full name, email, and social media contact. The dataset has been tagged on the natural behavior of lambs and consists of approximately 2400 images.