# FiftyOne Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/fiftyone
> Markdown URL: https://aitinkerers.org/technologies/fiftyone.md
> Technology record last updated: 2026-03-02T12:52:52Z
> Generated: 2026-08-24T05:46:43Z

FiftyOne is the open-source toolkit for computer vision: visualize, analyze, and curate your data and models faster.

FiftyOne (by Voxel51) delivers the data-centric ML platform for computer vision engineers. Use the Python library and App to load, visualize, and query datasets, supporting formats like COCO, VOC, and YOLO. The platform integrates seamlessly with frameworks (TensorFlow, PyTorch) to help you find label mistakes (e.g., over 1/3 of Open Images false positives are annotation errors) and evaluate model predictions. Customers report significant gains: one team achieved a 77% reduction in images requiring manual verification, while another sped up investigations by 3x. Focus on model science; let FiftyOne handle the data wrangling.

- Official technology site: https://voxel51.com/fiftyone/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [From Lab Walls to Real Fields: Fixing Data Scarcity with NVIDIA Cosmos-Transfer2.5 + FiftyOne (BioTrove Moth Edition)](https://raleigh.aitinkerers.org/talks/rsvp_ydT-2Uzjhhk)

A hands-on demo showing how to solve real-world data scarcity and domain shift using NVIDIA Cosmos-Transfer2.5 and FiftyOne. We begin by extracting rare moth samples from the BioTrove biodiversity dataset using BioCLIP embeddings, converting them into controllable video inputs, and generating edge-based control signals. NVIDIA Cosmos-Transfer2.5 then performs world-model–driven domain translation, transforming sterile lab images into realistic field environments. The outputs are validated and analyzed in FiftyOne using grouped datasets, embeddings, and semantic similarity search. This generative workflow yields 20–40% improvements on downstream classifiers by expanding rare classes and correcting dataset bias. This demo directly addresses three core challenges in real-world computer vision: (1) severe class imbalance and ecological domain shift, (2) absence of realistic field imagery for rare species, and (3) scalable validation of generative outputs. The session walks through the pipeline end-to-end: selecting scarce samples with BioCLIP, preparing video and edge-control inputs, running Cosmos-Transfer2.5 for domain transfer, and validating the generated outputs in FiftyOne using embeddings, grouped datasets, and semantic search.

- Event context: Raleigh AI Tinkerers: Second Meetup — 2025-12-10 — Raleigh
- Public talk page: https://raleigh.aitinkerers.org/talks/rsvp_ydT-2Uzjhhk

### [A Google-Like Search Experience for Your Photo Library with Opensource Tools](https://raleigh.aitinkerers.org/talks/rsvp_EEHGIBjFDGQ)

This demo showcases a photo album curation workflow using FiftyOne’s Brain similarity indexing and multimodal search. Images are embedded and indexed once via compute_similarity(), enabling rapid retrieval of visually similar photos and natural language search (e.g., “sunset at the beach”) using CLIP, which aligns text and images in the same embedding space. Users can sort albums by similarity to a reference image or a text prompt, find duplicates, and surface on-theme groups for curation. Low‑dimensional embedding visualizations further reveal clusters and outliers that guide pruning and organization. The experience is fully interactive in the FiftyOne App, and scalable via vector database integrations when working with large libraries.

- Event context: AI Tinkerers - Raleigh Inaugural Meetup (September 2025) — 2025-09-30 — Raleigh
- Public talk page: https://raleigh.aitinkerers.org/talks/rsvp_EEHGIBjFDGQ

## Related Technologies

- [BioCLIP](https://aitinkerers.org/technologies/bioclip) ([Markdown](https://aitinkerers.org/technologies/bioclip.md)) — 1 public demo
- [BioTrove Dataset](https://aitinkerers.org/technologies/biotrove-dataset) ([Markdown](https://aitinkerers.org/technologies/biotrove-dataset.md)) — 1 public demo
- [CLIP](https://aitinkerers.org/technologies/clip) ([Markdown](https://aitinkerers.org/technologies/clip.md)) — 10 public demos
- [Cosmos-Transfer2](https://aitinkerers.org/technologies/cosmos-transfer2) ([Markdown](https://aitinkerers.org/technologies/cosmos-transfer2.md)) — 1 public demo
- [Pinecone](https://aitinkerers.org/technologies/pinecone) ([Markdown](https://aitinkerers.org/technologies/pinecone.md)) — 25 public demos
- [Real2Real](https://aitinkerers.org/technologies/real2real) ([Markdown](https://aitinkerers.org/technologies/real2real.md)) — 1 public demo
- [Transformers](https://aitinkerers.org/technologies/transformers) ([Markdown](https://aitinkerers.org/technologies/transformers.md)) — 148 public demos
- [UMAP](https://aitinkerers.org/technologies/umap) ([Markdown](https://aitinkerers.org/technologies/umap.md)) — 5 public demos