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style: split Computer Vision into General and OCR
No removals. General tiers: opencv-python (renamed from opencv to the canonical pip package this entry already linked; 55.9M/mo) and ultralytics (8.4M/mo, 60.7K stars) obvious choices; kornia (3.1M/mo) and fiftyone (253.7K/mo — dataset tooling rather than a vision algorithm library, kept as the unprompted answer for that adjacent job) challengers. OCR minted as a distinct job: pytesseract (24M/mo) and easyocr (3.6M/mo, quiet since 2025-12 — watch) obvious choices. Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -218,12 +218,14 @@ _Libraries for working with human languages._
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_Libraries for Computer Vision._
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- [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 40+ languages supported.
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- [fiftyone](https://github.com/voxel51/fiftyone) - The open-source tool for building high-quality datasets and computer vision models.
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- [kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch.
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- [opencv](https://github.com/opencv/opencv-python) - Open Source Computer Vision Library.
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- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr).
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- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, and classification with state-of-the-art accuracy and speed.
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- General
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- [opencv-python](https://github.com/opencv/opencv-python) - Open Source Computer Vision Library.
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- [ultralytics](https://github.com/ultralytics/ultralytics) - Ultralytics YOLO for object detection, segmentation, pose estimation, and classification with state-of-the-art accuracy and speed.
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- [kornia](https://github.com/kornia/kornia/) - Open Source Differentiable Computer Vision Library for PyTorch.
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- [fiftyone](https://github.com/voxel51/fiftyone) - The open-source tool for building high-quality datasets and computer vision models.
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- OCR
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- [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for [Google Tesseract OCR](https://github.com/tesseract-ocr).
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- [easyocr](https://github.com/JaidedAI/EasyOCR) - Ready-to-use OCR with 40+ languages supported.
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### Recommender Systems
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