Posts tagged with "machine-learning"
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Detecting Anomalous Images with CLIP and Isolation Forest
July 15, 2026Finding suspicious images in a dataset using an unsupervised anomaly detection pipeline with CLIP embeddings, multi-dimensional PCA sweeps, and per-class Isolation Forests.
Justin Nguyen · 11 min read ·machine-learningcomputer-vision+3 -
Classifying Images and Detecting Anomalies with K-Means Centroids
July 7, 2026Building a robust classification pipeline using clustering centroids to categorize unseen images, filter out anomalies with confidence thresholds, and benchmark against zero-shot CLIP.
Justin Nguyen · 6 min read ·machine-learningcomputer-vision+1 -
Auto-Labeling Images with CLIP and K-Means
July 4, 2026Combining modern embeddings with traditional ML: how to use CLIP, PCA, and K-Means for unsupervised image labeling.
Justin Nguyen · 4 min read ·machine-learningcomputer-vision+1 -
RainML: Real-Time Rain Map with Traffic Webcams
July 1, 2026How I built a live rain map for HCMC using traffic cameras and Uber H3 hexagons.
Justin Nguyen · 1 min read ·machine-learningpython+1