Our zero-shot label generation engine uses foundation model based automated data labeling to enable ML teams to generate large volume of labeled data. Generative AI powered automated labeling makes it super fast.
Auto labeling is the process where AI predict the label by itself. Reducing or replace the human in the loop from the labeling process. Model-assisted labeling, active learning based labeling are few example. LabelGPT have taken the process to one step further using combination of multiple foundation models to achieve zero shot labeling.
Connect your images on your cloud (AWS, GCP, Azure and API) or from local to our platform
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Give classes/object needed to label as a text prompt. Select your labeling type as bounding box or segmentation
Get labelled images in just few minutes with confidence score. Push the export to the ML training engine via our integration.
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Just write class/object name and our foundation model powered labeling engine will detect and segment the label. Complete zero shot labeling.
No need to do labeling on images one by one. Just give the prompt and run the model on all of your data in one click and get labeled data in just few minutes. Saves your time
You can easily validate the quality of labels just by filtering the high confidence score. Quickly validatethe result visually and push it to your ML pipeline.
Tensor Matics Inc
44, Tehama St,
San Francisco, CA
USA 94107
Phone:+16283133187
Registered Office
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Tensor Matics Pvt Ltd
SCO 224, Level 1 and 2, Sector 37 C, Chandigarh, 160036, India
Phone: +917565883102
