Month: 2025-09 Overview: This month focused on delivering a high-impact feature for the Prediction API’s tracking capabilities, along with clear, customer-facing documentation enhancements to improve adoption and reduce integration friction. Key features delivered: - Prediction API: Enhanced tracking-by-detection with BoT-SORT and clearer usage. Enabled more reliable multi-object tracking in video workflows by integrating BoT-SORT, and simplified usage by allowing tracking parameters to be configured directly in the predict method. - Documentation improvements to tracking features to improve discoverability and ease of use. Major bugs fixed: - No major bugs fixed this month. Efforts focused on feature delivery and documentation clarity to reduce future risk and support faster adoption. Overall impact and accomplishments: - Improved model and API reliability for video tracking workflows, leading to faster integrations and better end-user outcomes in real-world pipelines. - Clearer guidance and examples reduce time to value for customers and teammates, strengthening product usability and documentation quality. - Enhanced traceability with explicit commits improving the tracking section and comments for future maintenance. Technologies/skills demonstrated: - BoT-SORT integration for tracking-by-detection in a production API - API design and usability enhancements (configurable tracking in predict method) - Documentation clarity and maintainability, versioned with targeted commits Commits linked to this work: - 7c355b6208b4a5f22e1670104388dccece284398: update tracking section in Prediction API - 1b236b46b24c42c6b2b5565be63346797f744cf8: update comment in tracking section

August 2025: Documentation improvements for Supervisely docs repository focused on Training Experiments and API references. Delivered a comprehensive overhaul of Training Experiments documentation with new sections, clearer motivation and lifecycle guidance, experiment details, starting/comparing experiments, deployment/fine-tuning workflows, updated visuals, and accessibility enhancements. Also fixed API docs typo by renaming parameter 'upload' to 'upload_mode' for clarity and accuracy. These efforts improve onboarding, reproducibility, and self-service capability, reducing support burden and accelerating time-to-value for users.

February 2025 monthly summary focusing on documentation engineering across Supervisely repos: delivered key features to improve deployment/prediction docs, enhanced neural networks documentation with a Legacy section and cross-links, and updated the Inference API tutorial to cover project-level end-to-end inference. Minor doc fixes and link corrections completed. These efforts reduce onboarding time, improve developer productivity, and strengthen guidance for Docker-based deployments and inference workflows.