Quick facts
- Best for
- Data labeling
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About LabelGPT
LabelGPT is an automated image annotation tool powered by a generative AI model. Its primary function is to generate labels on raw images, thereby aiding the annotation process. Users can import their data from various sources, including local platforms or cloud sources like AWS, GCP, Azure, and through APIs. The zeroes shot label generation engine is backed by a foundation model that allows Machine Learning teams to generate vast volumes of labeled data. The tool facilitates the annotation process by taking class or object names as a text prompt and detecting and segmenting the label. It also offers a swift review process. Users can validate the quality of the labels by filtering the high confidence score, visually verify the results, and directly integrate it into their ML pipeline. The annotations obtained from LabelGPT can be utilized to propel vision model training, reduce annotation costs, and increase the speed of the labeling process.
Pros
- Automated image annotation
- Multiple foundation model utilization
- Generates voluminous labeled data
- Swift review process
- Quality validation through high confidence score
- Visual result verification
- Direct ML pipeline integration
- Reduces annotation costs
- Speeds up labeling process
- Imports from local and cloud (AWS, GCP, Azure)API for data import
- Zero-shot learning
- Text prompts for labeling
Cons
- Limited labeling types
- No offline usage
- No manual labeling option
- No multi-language support
- Undefined user access control
- Inability to adjust confidence score
- No data curation function
- Unclear revision history
- No free trial mentioned