Conquering ControlNet
ControlNet has been one of the biggest success stories in ML in 2023. Build a high quality dataset so you can train…
Category: Tutorials
State-of-the-Art Object Detection with YOLO-NAS & FiftyOne
Learn how to work with the brand-new state-of-the-art object detection model YOLO-NAS in FiftyOne!
The ML Menu for Model Selection: Hugging Face, Weights & Biases, and FiftyOne
Select the best model for your ML task with 3 delicious tools that should be in your AI stack: Hugging Face, Weights…
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.
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…
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.
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 1)
Welcome to Part 1 in the three-part series on how to visualize, evaluate & fine-tune YOLOv8 models with open source…
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…
Why FiftyOne is the pandas of Computer Vision
The pandas DataFrame & FiftyOne Dataset share similar functionalities. Learn how to use FiftyOne for computer vision…