zero-shot-prediction-plugin
concept-space-traversal-plugin
| zero-shot-prediction-plugin | concept-space-traversal-plugin | |
|---|---|---|
| 3 | 1 | |
| 29 | 5 | |
| - | - | |
| 7.3 | 5.6 | |
| 3 months ago | 5 months ago | |
| Python | TypeScript | |
| - | - |
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zero-shot-prediction-plugin
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Zero-Shot Prediction Plugin for FiftyOne
fiftyone plugins download https://github.com/jacobmarks/zero-shot-prediction-plugin
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A History of CLIP Model Training Data Advances
For a comprehensive catalog of papers pushing the state of CLIP models forward, check out this Awesome CLIP Papers Github repository. Additionally, the Zero-shot Prediction Plugin for FiftyOne allows you to apply any of the OpenCLIP-compatible models to your own data.
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Plugin for Building and Managing Plugins!
Week 6: 🎭Zero-shot Prediction
concept-space-traversal-plugin
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Plugin for Building and Managing Plugins!
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.
What are some alternatives?
pytesseract-ocr-plugin - Run optical character recognition with PyTesseract from the FiftyOne App!
twilio-automation-plugin - Automate data ingestion into FiftyOne with Twilio
active-learning-plugin - Label your dataset with active learning in FiftyOne!
image-quality-issues - FiftyOne Plugin for finding common image quality issues
reverse-image-search-plugin - Find the images in your dataset most similar to a query image from URL or drag-and-drop, with FiftyOne!
keyword-search-plugin - FiftyOne plugin to perform keyword search on a specified field
concept-interpolation - Interpolate between two text concepts using a CLIP model and FiftyOne Plugins!
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]
vqa-plugin - Perform visual question answering on your images