yolo9

Automate the YOLO training by Ultralytics for custome COCO datasets

Real-time video object detection monitoring demo using Transformers.js and Backblaze B2 Cloud Storage. Runs YOLOv9 fully in the browser with automatic capture intervals, no server or GPU required. Detected snapshots and metadata are stored in low cost, scalable B2 storage for analysis and retention.

Detecting colonoscopy polyps with aid of Deep networks

Built an object detection pipeline using YOLOv9 and RF-DETR, enhanced with SAM-based pseudo-labeling and Weighted Boxes Fusion ensembling to detect snow poles in winter road imagery. Ranked 1st on the course leaderboard for detection performance.