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Software engineer at MVLab, as well as PhD student at Wrocław University of Science and Technology

✅ I am interested in:

  • python programming,
  • computer vision,
  • machine learning,
  • 3D modelling and 3D printing.

⚡ I mainly work on image processing systems based on popular ML solutions such as YOLO or Detectron. Among the projects completed so far, I can highlight:

📫 Academic email address: [email protected]

ℹ️ MVlab GitHub repository: MVlab-git

Kacper Marciniak's Projects

cvat-1 icon cvat-1

Powerful and efficient Computer Vision Annotion Tool (CVAT)

detectron2 icon detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

fda icon fda

Fourier Domain Adaptation for Semantic Segmentation

parachutesim icon parachutesim

Simple software to determine parachute parameters for the sounding rocket design process.

tractionai-public icon tractionai-public

Multistage system for automatic detection of railroad infrastructure elements based on machine learning solutions.

ultralytics icon ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

yolov7 icon yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov8-framework icon yolov8-framework

Framework for object detection and instance segmentation models from the YOLOv8 family with SAM support

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