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teach machines to see
learn computer vision
from image classification to detection, segmentation, and vision transformers.
the curated path
curatedbeginner~4 weeks, part-time
computer vision fundamentals
a practical route from your first image classifier to modern detection, segmentation, and transformers — with code you can run today.
4 modules · 12 resources · checkpoint per modulestay current
what's new in computer vision
- Design of a low-power RISC-V based intelligent endoscopy detection processor: EndoRISC-Vproposes a specialized hardware processor for real-time capsule endoscopy analysis that reduces manual review time from hours to minutes while staying power-efficient. medical device teams can use this to build next-generation wearable endoscopy systems with on-device intelligence.
- An accurate, efficient, and accessible AI-powered solution for wildlife re-identification in conservationpresents giraffe, a system for automated individual animal identification from photos, enabling scalable capture-recapture and behavioral studies. conservation teams can deploy this to track populations and demographics without manual image review.
- SemNav: Enhancing visual semantic navigation in robotics through semantic segmentationimproves robot navigation by grounding visual understanding in semantic scene representations rather than raw pixels. practitioners building autonomous systems can apply these techniques to make navigation more robust in complex, unstructured environments.
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