Labeling tool in the process

[sondautilities]

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Question

I have a question regarding the learning process within the Ultralics environment... Is there any tool to label objects in images? Or does this need to be done using an opensource labeling tool and then loading the already labeled dataset?
What about labeling by square (bouding box) or polygons?
Thanks!

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[github-actions]

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[pderrenger]

Hello!

Thank you for reaching out with your question. We're glad to assist you with your labeling needs within the Ultralytics environment. 😊

Currently, Ultralytics HUB does not have a built-in labeling tool. However, you can use several open-source labeling tools to annotate your images before loading them into the Ultralytics environment. Some popular options include:

1. LabelImg: A graphical image annotation tool that supports bounding box annotations.
2. LabelMe: An online annotation tool that supports polygon annotations.
3. CVAT (Computer Vision Annotation Tool): A versatile tool that supports both bounding boxes and polygons.

Once you have labeled your dataset using one of these tools, you can easily load the annotated data into the Ultralytics environment for training and evaluation.

For bounding box annotations, LabelImg is a straightforward and widely-used option. For more complex annotations like polygons, CVAT or LabelMe might be more suitable.

If you encounter any issues or have further questions, feel free to ask. We're here to help!

[sondautilities]

Hello Paula. Thank you very much for your answer, it’s clear for me and It will help me so much. Best regards! ***@***.*** Fernando Zamora Garcia, ***@***.*** Tech Lead Soluções de Parceiros - Latin America Cel: 55 11 97619-8755 Av das Nações Unidas 12901 – 19 andar - CENU Torre Norte • São Paulo • Brasil www.sonda.com<http://www.sonda.com/> ***@***.*** [cid:4355104452-2]Comprometidos com o Meio Ambiente. Não imprima este e-mail se não for necessário. De: Paula Derrenger ***@***.***> Enviada em: segunda-feira, 10 de junho de 2024 23:32 Para: ultralytics/hub ***@***.***> Cc: Fernando Zamora Garcia ***@***.***>; Mention ***@***.***> Assunto: Re: [ultralytics/hub] Labeling tool in the process (Issue #718) Hello! Thank you for reaching out with your question. We're glad to assist you with your labeling needs within the Ultralytics environment. 😊 Currently, Ultralytics HUB does not have a built-in labeling tool. However, you can use several open-source labeling tools to annotate your images before loading them into the Ultralytics environment. Some popular options include: 1. LabelImg: A graphical image annotation tool that supports bounding box annotations. 2. LabelMe: An online annotation tool that supports polygon annotations. 3. CVAT (Computer Vision Annotation Tool): A versatile tool that supports both bounding boxes and polygons. Once you have labeled your dataset using one of these tools, you can easily load the annotated data into the Ultralytics environment for training and evaluation. For bounding box annotations, LabelImg is a straightforward and widely-used option. For more complex annotations like polygons, CVAT or LabelMe might be more suitable. If you encounter any issues or have further questions, feel free to ask. We're here to help! — Reply to this email directly, view it on GitHub<#718 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/ASY2ZVJMCEBRSH5UNTL3NBDZGZOQHAVCNFSM6AAAAABJC6M47SVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNJZGY2TKNRYGU>. You are receiving this because you were mentioned.Message ID: ***@***.******@***.***>> "La información contenida y/o adjunta en este correo electrónico es confidencial y para uso exclusivo de la(s) persona(s) a quien(es) se dirige. Si usted no es el destinatario y ha recibido este correo por error, agradeceremos eliminarlo y notificar a la persona que lo envió. Queda expresamente prohibido distribuir, copiar o hacer uso de su contenido si Ud. no es el destinatario de este correo”.

[pderrenger]

Hello Fernando,

Thank you for your kind words! We're delighted to hear that the information provided was clear and helpful to you. 😊

If you have any further questions or need additional assistance as you proceed with your labeling and training tasks, please don't hesitate to reach out. The Ultralytics community and team are always here to support you.