Draw boxes around different objects in an image.
Draw polygons around different objects in an image.
Validate imported labels by correcting annotations.
Segment an image into different specified parts.
Validate model output by correcting annotation and assigning classes.
Classify the contents in an image.
Classify text by categories such as sentiment, industry etc.
Judge model-generated output to train your automotive AI.
Rank images from best to worst based on the prompt.
Generate completions based on prompts with domain experts.
Filter images to be labeled based on user-defined criteria
Generate captions for an image.
Create sketches with varying fidelity based on prompts.
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The best interface for self-service labeling. Everything from uploading data to seeing it labeled in real time was really cool. Very impressed with how the platform delivered exactly the label quality we needed.
The annotators were really quick. Checked 5 minutes after uploading data - 100 images done.
Real-time view of the generated labels gave me instant feedback about the label quality. No more waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's FiftyOne.
SUPA has provided us with good quality judgments to train, tune, and validate our Search & Recommendations models. Before this, it was difficult to scale our labeling workflows.
What stands out is their commitment to providing consistent support throughout the data labeling process. The team actively engaged with us to clear up any ambiguity in the dataset including edge cases we didn't foresee.
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