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
Dayanne Fernandes contributed to the landing-ai/vision-agent repository by building unified APIs for text-to-object detection and integrating text-to-instance segmentation models into both image and video workflows. Using Python and leveraging skills in API integration and computer vision, Dayanne refactored multiple modules to enforce consistent API usage, improving maintainability and easing the onboarding of new models. She added automated tests to validate fine-tuned model support and updated tooling to handle variations in model output. Her work enabled more reliable object detection and segmentation pipelines, supporting automated analytics and downstream decision-making with robust, test-driven model integration and fine-tuning capabilities.
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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