Everyday tasks. A simpler way to start.
Organize product images, find items in a photo, or review visible defects. Explore focused computer vision projects that a small team can understand and evaluate.
Start with a useful prediction.
Sort product photos, count items, or check their condition. Start with one task that takes your team time.
Image classification
Organize product photos and incoming images by the categories your business uses: product type, visible condition, or a review category. Define the labels, test a model, and inspect the exceptions.
Explore the use caseObject detection
Locate and count known objects in images. Turn examples from your environment into a detection task your domain experts and engineers can evaluate together.
Explore the use caseVisual inspection
Build an image inspection workflow around the defects your quality team knows. Review examples, train a candidate, and measure what it misses before changing your process. Start with a single product or repeatable check.
Explore the use caseFill the gaps in an image dataset.
A collection may be missing unusual angles, lighting conditions, or rare examples. Use the dataset studio to explore those gaps and review proposed variations before adding them to the training set.
Discuss your use caseCan we discuss a use case outside computer vision?
The current studio workflow focuses on image datasets and computer vision. Bring other AI needs to the conversation so the team can discuss fit. We focus on image-based workflows so the discussion starts with a concrete task and a clear evaluation.