CV Brief · Monday, 21 September 2026
CV Brief
Tutorials & Guides
SWiM3 Dataset: Teaching Models Real-World Trash Recognition
New dataset addresses the gap between lab-trained models and real-world deployment by focusing on waste/trash recognition in actual conditions. CV teams need domain-specific datasets that match production environments, not generic benchmarks.
Read more →Knowledge Distillation Failures: When Teacher Models Backfire
Undergraduate thesis on knowledge distillation reveals practical pitfalls—including two cases where the technique provided zero benefit. Essential reading for practitioners considering model compression before blindly applying it to production pipelines.
Read more →Getting Started in CV/ML
MedSAM2: Segment 3D CT from Single Slice Prompts
Tutorial on MedSAM2 demonstrates prompt-based segmentation of full 3D medical scans from single-slice input. Directly applicable for medical imaging pipelines and shows efficiency gains in clinical deployment scenarios.
Read more →When extracting crops from CCTV at scale, always use frame seeking (cv2.CAP_PROP_POS_FRAMES) instead of sequential reads. On a 2-hour video at 1FPS you'll go from hours to minutes.