Scan · detect defects · approve or reject
VisionQC Pro live sandbox
Run the vision classifier on product photos, drag the confidence threshold to see detections change, and make the approve or reject call the way a moderation team would.
Everything is clickable. It runs in your browser with sample data and resets on refresh.
CLIP + ResNet-50 · v4.2
Ceramic mug
SKU-30077 · Drinkware
Detections
Run the classifier to detect the object and any defects.
Confidence threshold
60%
Detections below this score are hidden. Lower it to catch faint defects.
Verdict
Waiting for classification.
Production stack:PythonPyTorchCLIPAWS LambdaS3FastAPI