image-deduplication-plugin
line2d
| image-deduplication-plugin | line2d | |
|---|---|---|
| 2 | 1 | |
| 14 | 4 | |
| - | - | |
| 5.7 | 5.2 | |
| 6 months ago | about 1 year ago | |
| Python | TypeScript | |
| - | MIT License |
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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.
image-deduplication-plugin
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Aug 7, 2024 - Developing Data-Centric Visual AI Apps Workshop
From concept interpolation to image deduplication, optical character recognition, and even curating your own AI art gallery by adding generated images directly into a dataset, your imagination is the only limit. Join us to discover how you can unleash your creativity and interact with data like never before.
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Plugin for Building and Managing Plugins!
Week 4: 🪞Image Deduplication
line2d
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Plugin for Building and Managing Plugins!
The install_plugin operator allows you to install FiftyOne plugins directly from the FiftyOne App. No need to use the command line. You can install any Python plugin by selecting the first tab (GITHUB) in the operator’s modal and typing or pasting in information detailing where the plugin can be found on GitHub. This can be the URL, ref, or ref string of the GitHub repo. Here’s what it looks like to install the line2d plugin by @wayofsamu:
What are some alternatives?
twilio-automation-plugin - Automate data ingestion into FiftyOne with Twilio
vqa-plugin - Perform visual question answering on your images
reverse-image-search-plugin - Find the images in your dataset most similar to a query image from URL or drag-and-drop, with FiftyOne!
image-quality-issues - FiftyOne Plugin for finding common image quality issues
concept-interpolation - Interpolate between two text concepts using a CLIP model and FiftyOne Plugins!
zero-shot-prediction-plugin - Run zero-shot prediction models on your data
pytesseract-ocr-plugin - Run optical character recognition with PyTesseract from the FiftyOne App!
ai-art-gallery - 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! [Moved to: https://github.com/jacobmarks/text-to-image]