landing-ai/vision-agent
Oct 2024 – Nov 2024
2 Months active
Languages Used
Python
Technical Skills
API IntegrationComputer VisionModel Fine-tuningTestingInstance SegmentationModel Integration
Dayanne Fernandes
PROFILE
Dayanne Fernandes
Worked on the landing-ai/vision-agent repository to deliver unified text-to-object-detection and text-to-instance segmentation capabilities across image and video workflows. Developed a consistent API for text-to-object-detection, refactoring multiple modules to streamline model integration and reduce onboarding friction. Integrated a text-to-instance segmentation model, enhancing object detection and segmentation accuracy in both image and video tracking components. Emphasized maintainability by updating automated tests to support fine-tuned models and handle output variations. Leveraged Python for API integration, computer vision, and model fine-tuning, focusing on robust testing and compatibility. The work improved production reliability and enabled faster iteration for new model support.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
420
Activity Months2
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary: Key feature delivery in landing-ai/vision-agent focused on integrating a text-to-instance segmentation model into both image and video workflows, with broad test and tooling updates to support variations in model output and fine-tuned variants. This work enhances object detection and segmentation capabilities in florence2_sam2_image and florence2_sam2_video_tracking, enabling more accurate automated analytics and downstream decisions.
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary: Key feature delivery in landing-ai/vision-agent focused on integrating a text-to-instance segmentation model into both image and video workflows, with broad test and tooling updates to support variations in model output and fine-tuned variants. This work enhances object detection and segmentation capabilities in florence2_sam2_image and florence2_sam2_video_tracking, enabling more accurate automated analytics and downstream decisions.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Monthly summary for 2024-10 - landing-ai/vision-agent: Delivered a unified text-to-object-detection API across multiple components, enabling consistent invocation of text-to-OD models and broader model support. Refactored owl_v2_image, owl_v2_video, countgd_counting, and florence2_phrase_grounding to use the unified API. Added regression test test_owl_v2_video_fine_tune_id to verify fine-tuned model support on video inputs. Consolidated API usage reduced integration friction and improved maintainability.
October 2024
1 Commits • 1 Features
Oct 1, 2024Monthly summary for 2024-10 - landing-ai/vision-agent: Delivered a unified text-to-object-detection API across multiple components, enabling consistent invocation of text-to-OD models and broader model support. Refactored owl_v2_image, owl_v2_video, countgd_counting, and florence2_phrase_grounding to use the unified API. Added regression test test_owl_v2_video_fine_tune_id to verify fine-tuned model support on video inputs. Consolidated API usage reduced integration friction and improved maintainability.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage70.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API IntegrationComputer VisionInstance SegmentationModel Fine-tuningModel IntegrationObject DetectionTesting
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