Tag Assistant
T
Tag Assistant
Overview :
Tag Assistant is an online tool based on GPT4-Vision. It achieves batch image text annotation through prompt fine-tuning, providing data support for training based on SD models. The tool's main advantages lie in its free access, batch processing capability, and efficient annotation accuracy, making it particularly suitable for research and business users who require large-scale image annotation.
Target Users :
Our target audience includes researchers, data scientists, machine learning engineers, and business users in related fields who need to label a large number of images. This product is suitable for them because it provides a free, efficient, and secure solution that can significantly improve work efficiency and reduce labeling costs.
Total Visits: 0
Website Views : 48.0K
Use Cases
Researchers use Tag Assistant to prepare annotated data for training machine learning models.
Data scientists leverage this tool to batch process experimental images, accelerating data processing speed.
Businesses utilize Tag Assistant to create image annotations for product catalogs, optimizing search engine optimization (SEO).
Features
Supports batch downloading of annotated files in .txt format, named according to the image names.
Supports batch adding or removing annotation prefixes, facilitating users' unified management of annotation information.
Supports manual modification of annotations to correct potential errors during automatic annotation.
Daily limit of 100 uses, meeting daily annotation needs.
User-uploaded images are directly sent to OpenAI for processing, ensuring data security.
Does not access or store any user-uploaded information or data, including APIKEY.
How to Use
1. Visit the Tag Assistant website and enter your GPT-4 Vision API key.
2. Ensure the API key is active and usable within your OpenAI account.
3. Upload the images requiring annotation to Tag Assistant.
4. Set the desired image prefix to facilitate subsequent management and identification.
5. Execute the annotation operation; Tag Assistant will annotate the uploaded images with text.
6. After annotation, manually review and modify the annotation results if needed.
7. Batch download the annotated files, which will be saved in .txt format and named according to the image names.
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase