Navras

- improved a model for door detection by 10%
- built multitask model for floorplan segmentation and joint detection with 86% IoU and 90% f1 of joints
- developed a post-processing algorithm for NN output to extract components and their relationships to make it easier to take architectural measurements and make adjustments based on user feedback
- developed algorithms for interacting with floorplan labels including: symbol detection by click, which allowed in 80% of cases to select a symbol with a single click, symbol detection by template based on traditional approaches and metric learning with 92% f1, OCR, finding similar symbols and grouping by text and/or shape
- developed generators of synthetic floorplans and architectural symbols, which resulted in an improvement of 18% to 69% for different models
- organized the floorplan annotation process, new data allowed to increase the IoU by 8%
- developed a testing procedure for the final result of the service to compare it with metrics at intermediate stages

<p>improved a model for door detection by 10%<br>
built multitask model for floorplan segmentation and joint detection with 86% IoU and 90% f1 of joints<br>
developed a post-processing algorithm for NN output to extract components and their relationships to make it easier to take architectural measurements and make adjustments based on user feedback<br>
developed algorithms for interacting with floorplan labels including: symbol detection by click, which allowed in 80% of cases to select a symbol with a single click, symbol detection by template based on traditional approaches and metric learning with 92% f1, OCR, finding similar symbols and grouping by text and/or shape<br>
developed generators of synthetic floorplans and architectural symbols, which resulted in an improvement of 18% to 69% for different models<br>
organized the floorplan annotation process, new data allowed to increase the IoU by 8%<br>
developed a testing procedure for the final result of the service to compare it with metrics at intermediate stages</p>

- developed an algorithm that detects free parking spaces and is resistant to non-compliance with markings
- developed a free parking space verification system based on classic approaches to reduce FPs by 15%
- developed a car monitoring module
- developed data collection/annotation pipeline to create a dataset
- built model for car segmentation with 93% mAP
- developed back-end that served 100 cameras
- Improved the user experience and safety for drivers by developing a skill for Voice Assistant as an interface

- developed an algorithm that detects free parking spaces and is resistant to non-compliance with markings
- developed a free parking space verification system based on classic approaches to reduce FPs by 15%
- developed a car monitoring module
- developed data collection/annotation pipeline to create a dataset
- built model for car segmentation with 93% mAP
- developed back-end that served 100 cameras
- Improved the user experience and safety for drivers by developing a skill for Voice Assistant as an interface

<p>developed an algorithm that detects free parking spaces and is resistant to non-compliance with markings<br>
developed a free parking space verification system based on classic approaches to reduce FPs by 15%<br>
developed a car monitoring module<br>
developed data collection/annotation pipeline to create a dataset<br>
built model for car segmentation with 93% mAP<br>
developed back-end that served 100 cameras<br>
Improved the user experience and safety for drivers by developing a skill for Voice Assistant as an interface</p>