A Better Way to Visualize 3D Point Clouds and Work with OpenAI’s Point-E
Harness FiftyOne to inspect, explore, and interact with your 3D data.
Category: Tutorials
A Google Search Experience for Computer Vision Data
How to use vector search engines (Pinecone & Qdrant) & OpenAI’s CLIP model natively in FiftyOne to perform similarity search at scale.
Giving YOLOv8 a Second Look (Part 1)
Welcome to Part 1 in the three-part series on how to visualize, evaluate & fine-tune YOLOv8 models with open source FiftyOne! In this part, we start with how to load & visualize YOLOv8 model predictions.
Giving YOLOv8 a Second Look (Part 2)
Part 2 in the YOLOv8 tutorial series: Learn how to evaluate YOLOv8 model predictions.
Giving YOLOv8 a Second Look (Part 3)
Part 3 in the YOLOv8 tutorial series: How to fine-tune YOLOv8 models for custom computer vision apps.
CVAT <> FiftyOne: Data-Centric Machine Learning with Two Open Source Tools
FiftyOne and CVAT can be used together to help you produce high-quality computer vision training data for your machine learning models. Learn how.
Nearest Neighbor Embeddings Search with Qdrant and FiftyOne
Learn how to perform a nearest neighbor search on a large computer vision dataset with two open source tools: Qdrant and FiftyOne.
How to Train Your Dragon (Detector)
Here’s a guide to building high-quality deep learning datasets and computer vision models using FiftyOne and ClearML.
How to Curate, Annotate, and Improve Computer Vision Datasets with FiftyOne and Labelbox
Learn how to use the integration between FiftyOne and Labelbox to build high-quality image and video datasets.