all AI news
Dealing with class imbalance?
May 1, 2024, 9:11 a.m. | /u/Its_NotTom
Computer Vision www.reddit.com
Working on an image classification task here. My dataset has a severe class imbalance problem. I have tried traditional algorithms like random oversampling and under-sampling, but I'm not entirely satisfied with the results. What approaches do you usually take to tackle class imbalance in your machine learning projects? Are there any novel techniques or recent research findings that you've found particularly effective?
Thanks!
algorithms class classification computervision dataset hey image machine machine learning machine learning projects novel oversampling projects random results sampling
More from www.reddit.com / Computer Vision
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US