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FiftyOne 1.0.2 documentation


FiftyOne — FiftyOne 1.0.2 documentation

FiftyOne supercharges your machine learning workflows by enabling you to visualize datasets and interpret models faster and more effectively.

FiftyOne 1.0.2 documentation - Voxel51

Module contents. FiftyOne: a powerful package for dataset curation, analysis, and visualization. See https://voxel51.com/fiftyone for more information.

Plugins Overview — FiftyOne 1.0.2 documentation - Voxel51

With plugins, you can add new functionality to the FiftyOne App, create integrations with other tools and APIs, render custom panels, and add custom actions to ...

FiftyOne User Guide

FiftyOne User Guide · FiftyOne basics. Get up to speed with a quick overview of FiftyOne's basic concepts. · Loading data into FiftyOne. Load data into FiftyOne ...

FiftyOne Release Notes — FiftyOne 1.0.2 documentation - Voxel51

FiftyOne Teams 1.5.9 ... Released April 15, 2024 ... Includes all updates from FiftyOne 0.23.8, plus ... FiftyOne 0.23.8 ... Released April 15, 2024 ... News ... App ... Core.

FiftyOne Installation — FiftyOne 1.0.2 documentation - Voxel51

To install FiftyOne, ensure you have activated any virtual environment that you are using, then run: pip install fiftyone

Frequently Asked Questions — FiftyOne 1.0.2 documentation

The FiftyOne App fully supports Chrome, Firefox, and Safari. You may find success using browsers like Edge, Opera, or Chromium, but your mileage will vary.

Evaluating Models — FiftyOne 1.0.2 documentation - Voxel51

In addition to standard aggregate metrics, when you pass an eval_key parameter to the evaluation routine, FiftyOne will populate helpful task-specific ...

Dataset Views — FiftyOne 1.0.2 documentation - Voxel51

FiftyOne provides methods that allow you to sort, slice, and search your Dataset using any information that you have added to the Dataset . Performing these ...

Install Troubleshooting — FiftyOne 1.0.2 documentation - Voxel51

Most installation issues can be fixed by upgrading some packages and then rerunning the FiftyOne install. So, try this first before reading on.

Using Aggregations — FiftyOne 1.0.2 documentation - Voxel51

Using Aggregations · Compute bounds. You can use the bounds() aggregation to compute the [min, max] range of a numeric field of a dataset: · Count items. You ...

Model Interface — FiftyOne 1.0.2 documentation - Voxel51

All models in the Model Zoo are exposed via the Model class, which defines a common interface for loading models and generating predictions.

Creating Views — FiftyOne 1.0.2 documentation - Voxel51

A dataset view can be thought of as a pipeline of operations that is applied to a dataset to extract a subset of the dataset whose samples and fields are ...

fiftyone - PyPI

fiftyone 1.0.2. pip install fiftyone. Copy PIP instructions. Latest version ... Full documentation for FiftyOne is available at fiftyone.ai. In particular ...

TypeScript API Reference — FiftyOne 1.0.2 documentation - Voxel51

TypeScript API Reference · @fiftyone/state · State · Hooks · Functions · Types · Enums · @fiftyone/plugins · State · Hooks · Functions · Types · Enums · @ ...

Using Plugins — FiftyOne 1.0.2 documentation - Voxel51

Every plugin that you download exposes one or more Panels and/or Operators that you can access from within the App.

setup.py - voxel51/fiftyone - GitHub

Refine high-quality datasets and visual AI models. Contribute to voxel51/fiftyone development by creating an account on GitHub.

[INSTALL] Cannot launch QuickStart · Issue #4880 · voxel51/fiftyone

Documentation · GitHub Skills · Blog. Solutions. By company size ... FiftyOne version ( fiftyone --version ): 1.0.0; FiftyOne installed from ...

Dataset Versioning — FiftyOne 1.0.2 documentation - Voxel51

Overview. Dataset Versioning in FiftyOne Teams is implemented as a linear sequence of read-only Snapshots. In other words, creating a new Snapshot creates a ...

voxel51/fiftyone - Docker Image

Use FiftyOne to get hands-on with your data, including visualizing complex ... Linux AMD64/ARM64 Multi-Architecture tags. latest⁠ , 1.0.2⁠ , 1.0.2 ...