deep-fast-vision
A Python library for rapid prototyping of deep transfer learning vision models. (by fabprezja)
fiftyone
Refine high-quality datasets and visual AI models (by voxel51)
| deep-fast-vision | fiftyone | |
|---|---|---|
| 4 | 31 | |
| 13 | 9,088 | |
| - | 1.9% | |
| 5.8 | 10.0 | |
| about 1 year ago | about 24 hours ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deep-fast-vision
Posts with mentions or reviews of deep-fast-vision.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-18.
- Making deep transfer learning vision easier to work with, Deep Fast Vision (new python library)
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Deep Fast Vision (new python library): Easy Auto-ML for Deep Transfer Learning Vision. Prototype Your Experiments Fast with this New Python Library!
Comprehensive documentation for Deep Fast Vision is available both in the docs folder and at the documentation page.
fiftyone
Posts with mentions or reviews of fiftyone.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-01-14.
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How to Make the Best Self-Driving Dataset
But the challenge lies in organizing and managing this unstructured data. That’s where tools like FiftyOne, Voxel 51’s open-source dataset management tool, come in.
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Recapping the AI, Machine Learning and Computer Meetup — November 14, 2024
These Meetups are sponsored by Voxel51, the company behind the open source FiftyOne computer vision toolset. FiftyOne enables data science teams to improve the performance of their computer vision models by helping them curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster. It’s easy to get started, in just a few minutes.
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Data Quality: The Hidden Driver of AI Success
GitHub Repository: Access the FiftyOne GitHub repo to dive into our open-source code, tutorials, and sample projects designed to help you incorporate FiftyOne into your own AI/ML workflows.
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Voxel51 Filtered Views Newsletter - October 4, 2024
Added support for creating summary fields to optimize queries on large datasets with many objects #4765
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Voxel51 Filtered Views Newsletter - August 23, 2024
SAM 2 Integration: Leverage Segment Anything 2 directly within FiftyOne for automatic object segmentation in images and videos.
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SAM 2 Is Now Available in FiftyOne!
Hit up the FiftyOne GitHub repo to find everything you need to use FiftyOne for your Visual AI projects.
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Voxel51 Filtered Views Newsletter - August 16, 2024
100+ open source contributors 🏁
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Recapping the AI, Machine Learning and Computer Meetup — August 15, 2024
These Meetups are sponsored by Voxel51, the company behind the open source FiftyOne computer vision toolset. FiftyOne enables data science teams to improve the performance of their computer vision models by helping them curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster. It’s easy to get started, in just a few minutes.
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What Is Visual AI? Going Beyond Computer Vision
At Voxel51, we’re dedicated to making the development of Visual AI systems faster and easier. We do this through our software solutions–open source FiftyOne and FiftyOne Teams–that enable AI builders to continuously refine their visual data and models in one place to achieve our collective goal of developing robust and reliable Visual AI applications that make our lives better.
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How I Built an In-Cabin Perception Dataset
Open source FiftyOne with more than 2M downloads and nearly 7000 stars on GitHub