Top 14 Python fiftyone Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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text-to-image
Use text-to-image models Stable Diffusion, DALL-E2, DALL-E3, SDXL, SSD-1B, Kandinsky-2.2, and LCM from UI. Add images directly to your dataset!
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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clustering-plugin
Compute clustering on your data in a visual, intuitive way with FiftyOne and Sklearn!
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
An alternative to this is to leverage existing object detection, apply the model to patches or slices of fixed size in our image, and then stitch the results together. This is the idea behind Slicing-Aided Hyper Inference!
Outliers are found in almost every dataset. Finding them, especially across hundreds of thousands if not millions of samples can be a daunting task, but with FiftyOne, the workflow can be made simple with the Outlier Detection. If you are interested in finding more FiftyOne plugins, checkout our community repo to optimize your workflows with plugins or contribute one of your own! Plugins are highly flexible and always open source so that you can customize it exactly to your needs! Have fun exploring!
In the AI Art Gallery and Twilio Automation plugins, I had used the ctx.trigger() method to perform operations like reloading samples (ctx.trigger(“reload_samples”)), and reloading the dataset (ctx.trigger(“reload_dataset”)). I was even aware from VoxelGPT that you could use ctx.trigger() to set the session’s view.
fiftyone plugins download https://github.com/jacobmarks/zero-shot-prediction-plugin
Week 0: 🌩️ Image Quality Issues & 📈 Concept Interpolation
Week 2: ❓Visual Question Answering
Week 4: 🪞Image Deduplication
Week 5: 👓Optical Character Recognition (OCR) & 🔑Keyword Search
Some of these plugins were simpler than others. On one end, the Twilio automation plugin consists of a single Python file without bells and whistles. On the opposite extreme, plugins like Active Learning, which required multiple operators, caching, and special handling for many different scenarios. Plugins like Reverse Image Search and Concept Space Traversal were challenging in a different way, mostly because I am new to JavaScript. But that is for another day.
By “this”, I mean an open-source semantic emoji search engine, with both UI-centric and CLI versions. The Python CLI library can be found here, and the UI-centric version can be found here. You can also play around with a hosted (also free) version of the UI emoji search engine online here.
Concept Modeling Techniques: the built-in concept modeling technique in this walkthrough uses GPT-4V and some light prompting to identify each cluster's core concept. This is but one way to approach an open-ended problem. Try using image captioning and topic modeling, or create your own technique!
fiftyone plugins download https://github.com/jacobmarks/clustering-plugin
Week 5: 👓Optical Character Recognition (OCR) & 🔑Keyword Search
Week 1: 🎨 AI Art Gallery & Twilio Automation
Python fiftyone related posts
Index
What are some of the best open-source fiftyone projects in Python? This list will help you:
Project | Stars | |
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1 | sahi | 3,553 |
2 | fiftyone-plugins | 87 |
3 | text-to-image | 24 |
4 | zero-shot-prediction-plugin | 24 |
5 | image-quality-issues | 20 |
6 | vqa-plugin | 10 |
7 | image-deduplication-plugin | 8 |
8 | pytesseract-ocr-plugin | 8 |
9 | active-learning-plugin | 6 |
10 | emoji-search-plugin | 5 |
11 | fiftyone-image-captioning-plugin | 5 |
12 | clustering-plugin | 4 |
13 | keyword-search-plugin | 3 |
14 | twilio-automation-plugin | 2 |
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