Exploration overview
Visual Layer helps you efficiently extract insights from large-scale, unstructured datasets using intuitive search, filtering, and quality tools.
What This Section Covers
Get a high-level understanding of the tools available in Visual Layer for search, filtering, quality control, and data curation. Use this section as your launchpad for working with large visual datasets.
- Semantic Search: Locate relevant data using natural language-powered search across your dataset.
- Caption search: Surface relevant content by matching queries to labels and captions.
- Visual Search Find similar images and objects through visual comparison.
- Filter Dataset Narrow down data based on specific attributes, labels, or conditions.
- Detect Mislabeled Identify and correct incorrectly labeled data to improve dataset accuracy.
- Detect Unlabeled Find and review entries that are missing annotations.
- Detect Duplicates Spot and manage duplicate entries in your dataset.
- Detect Outliers Detect irregular data points that may affect analysis or model performance.
- Select Unique Items Extract only essential samples for AI model training.
- Dataset quality Detect and manage image issues (e.g., blurry, dark, or overexposed) to ensure clean, usable data.