Voxel51
Official@voxel51 · Ann Arbor, MI
Making visual AI a reality
Agent Skills by Voxel51
Showing 10 vetted skills indexed across 1 GitHub repositories.
voxel51fiftyone-embeddings-visualization
Reduce dataset embeddings to 2D or 3D with UMAP, t-SNE, or PCA for visualization in the FiftyOne app.
voxel51fiftyone-issue-triage
Categorize FiftyOne GitHub issues into fixed, won't fix, not reproducible, or still valid.
voxel51fiftyone-dataset-inference
Run Zoo model inference on FiftyOne datasets for detection, classification, and embeddings.
voxel51fiftyone-dataset-import
Automate dataset imports into FiftyOne with automatic format detection.
voxel51fiftyone-find-duplicates
Finds and deduplicates near-identical images in FiftyOne datasets using similarity scoring and thresholds.
voxel51fiftyone-dataset-export
Export FiftyOne datasets to COCO, YOLO, VOC, CVAT, and CSV formats.
voxel51fiftyone-model-evaluation
Evaluate model predictions against ground truth using FiftyOne evaluation protocols.
voxel51fiftyone-voodo-design
Build FiftyOne plugin panels using the VOODO React component library.
voxel51fiftyone-code-style
Standardize Python code to FiftyOne's official conventions.
voxel51fiftyone-develop-plugin
Design and implement custom FiftyOne plugins with Python backends and JavaScript frontends.
Frequently Asked Questions About Voxel51
FAQPage SchemaWhat specific computer vision tasks does Voxel51 enable?▼
Voxel51 enables dataset import and export across formats like COCO, YOLO, and VOC, alongside model inference, similarity-based deduplication, and embedding visualization using UMAP or t-SNE. It provides a comprehensive environment for managing, evaluating, and refining visual datasets for production-grade machine learning.
Which engineering personas benefit from these capabilities?▼
Computer vision engineers, data scientists, and machine learning researchers utilize these capabilities to curate training data, debug model performance, and build custom interface extensions. It is designed for technical teams requiring granular control over visual data pipelines and model validation metrics.
What are the prerequisites for building custom interface extensions?▼
Developing custom extensions requires familiarity with the VOODO React component library for frontend panels and standard backend logic for plugin implementation. Users must integrate these components within the existing framework to extend functionality for specific dataset management or visualization requirements.