encord-team/encord-client-python
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentComputer VisionData AnnotationObject Detection
vitaly-encord
PROFILE
Vitaly-encord
During October 2025, Vitaly enhanced the encord-client-python repository by implementing self-occluded visibility for skeleton annotations, addressing the need for more granular occlusion tracking in computer vision workflows. He updated the Visibility enum and label row processing logic in Python to distinguish points occluded by themselves from those hidden by other objects, improving annotation semantics and data quality for downstream model training. The COCO exporter was extended to support this new visibility category, and comprehensive tests were added to cover edge cases. Vitaly’s work demonstrated depth in backend development, data annotation, and object detection, resulting in a more robust data pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
102
Activity Months1
Your Network
18 peopleWork History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025: Implemented self-occluded visibility for skeleton annotations in encord-client-python, enabling per-point occlusion distinction and improving labeling fidelity for model training. This release updates the Visibility enum, label row processing, and the COCO exporter, with tests covering the new option. The change is tracked under ED-1459 (commit aabba359bf50699244c116738eb69df1dd8d4893). No major bugs recorded this month for this repo. Impact: clearer annotation semantics, higher quality training data, and a more robust data pipeline.
1 Commits • 1 Features
Oct 1, 2025October 2025: Implemented self-occluded visibility for skeleton annotations in encord-client-python, enabling per-point occlusion distinction and improving labeling fidelity for model training. This release updates the Visibility enum, label row processing, and the COCO exporter, with tests covering the new option. The change is tracked under ED-1459 (commit aabba359bf50699244c116738eb69df1dd8d4893). No major bugs recorded this month for this repo. Impact: clearer annotation semantics, higher quality training data, and a more robust data pipeline.
October 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentComputer VisionData AnnotationObject Detection
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