Comments (2)
You can use several free labeling software options that offer AI-assisted labeling using YOLOv5 or YOLOv8 models. Here are some recommendations:
-
LabelImg:
- LabelImg is an open-source graphical image annotation tool.
- While it does not have built-in AI-assisted labeling, it can be easily integrated with YOLO models using custom scripts.
- LabelImg GitHub Repository
-
CVAT (Computer Vision Annotation Tool):
- CVAT is a powerful and free annotation tool developed by Intel.
- It supports automatic annotation with models, and you can upload your trained YOLOv5 or YOLOv8 models for AI-assisted labeling.
- CVAT Official Website
- CVAT GitHub Repository
-
Label Studio:
- Label Studio is an open-source data labeling tool that supports various data types, including images.
- It offers machine learning-assisted labeling and can integrate with YOLO models.
- Label Studio Official Website
- Label Studio GitHub Repository
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Supervisely:
- Supervisely offers a free tier with AI-assisted labeling capabilities.
- It supports custom model integration, including YOLOv5 and YOLOv8.
- Supervisely Official Website
-
VoTT (Visual Object Tagging Tool):
- VoTT is a Microsoft tool for tagging and labeling images and videos.
- It supports integration with custom models, including YOLO.
- VoTT GitHub Repository
Each of these tools has different features and levels of complexity, so you can choose the one that best fits your needs and technical expertise.
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