Daniil Komov
Computer Vision Lead
Verified Proof of Work Artifacts
2 items catalogedEach artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Daniil Komov. Every entry undergoes editorial source verification.
Web-Based Deep Learning Model Training and Annotation Platform
Architected a cloud-based platform enabling non-technical users to annotate images with bounding boxes, polygons, and keypoints, and train custom classification, object detection, and OCR models with one click.
Training speed depends on GPU cluster queue availability during peak multi-user training workloads.
High-Speed Optical Character Recognition and Table Extraction Engine
Developed an end-to-end OCR and table structure recognition engine capable of processing warped or skewed scans at under 100ms per page with 98.7% character accuracy across Latin and Cyrillic scripts.
Heavily degraded handwritten documents require specialized handwriting transformer (HTR) checkpoints.