CV Brief · Monday, 6 July 2026
CV Brief
Tools & Releases
HuggingFace Kernels Gets Major Performance Boost
HuggingFace revamped their Kernels infrastructure with faster compute and better GPU utilization. This directly impacts training speed and inference latency for vision models deployed through their ecosystem.
Read more →Tutorials & Guides
YOLO helmet detection: training and deploying safety systems
Step-by-step project building YOLO for construction helmet detection. Covers the practical pipeline from data collection through inference for real-world safety monitoring applications.
Read more →Object counting on construction sites: YOLO + SAHI production workflow
Real project journey from idea to live app using YOLO26 and SAHI for construction site monitoring. Documents actual challenges—data sourcing, Colab training, optimization from 72% accuracy—valuable for practitioners shipping CV systems.
Read more →Industry & Deployments
3D scene reconstruction with text-based search from mobile video
Building searchable 3D scenes from phone video with semantic querying. Demonstrates end-to-end pipeline combining reconstruction, feature extraction, and vision-language grounding for practical applications.
Read more →Auto-labeling confidence threshold: don't use 0.5. For quality training data, start at 0.7 and manually review the 0.5–0.7 band. The borderline cases are where your model learns.