CV Brief · Sunday, 30 August 2026
CV Brief
Tools & Releases
Double-blind AI evaluation methodology now in production use
DeepMind introduces double-blind evaluation protocols for AI systems, eliminating evaluator bias in model assessment. This matters for CV practitioners validating model performance objectively—critical when benchmarking detection, segmentation, or tracking systems against competitors.
Read more →Tutorials & Guides
Frozen Vision Transformers for Biomass Prediction from Satellite Imagery
Kaggle competition walkthrough using frozen ViT models to predict agricultural biomass from pixel data. Demonstrates practical transfer learning approach for remote sensing tasks without fine-tuning the backbone.
Read more →On-Device Heritage Site Classifier: Transfer Learning and Open-Set Rejection
Technical guide building 26-class image classifier with transfer learning for cultural heritage. Covers practical implementation of open-set rejection to handle out-of-distribution inputs—critical for production classifiers.
Read more →Getting Started in CV/ML
User-Selected Object Tracking: ByteTrack with Cosine Similarity Matching
Practical experiment combining ByteTrack with learned embeddings for robust user-selected object tracking in crowded scenes. Shows how to leverage both detection associations and appearance models for disambiguation.
Read more →pHash deduplication for video crops: use Hamming distance ≤10 as your threshold. Too tight misses duplicates, too loose removes valid unique crops.