I'm an electrical engineer π₯
- 15 years of experience in R&D industry
- Ph.D. π in Computer Vision
- postdoctoral research in Anomaly Detection in Time Series (Signal Processing + ML) π
- former Nokia/Microsoft developer and researcher
- former HuggingFace π€ ML engineer
- learning to surf π
- trying to become a better human π·
- passionate about:
- life π π΄
- computer vision π» π
- signal processing π‘ πΆ
- currently working on tools to simplify lives of researchers of different areas
- being sponsored will allow me to dedicate more time to improve my current tools and develop better ones to share with the community π π π π
If my projects have contributed to your work or research in any way, please consider showing your support. Become a sponsor and help me focus on creating even better solutions. π
2 sponsors have funded rafaelpadillaβs work.
Featured work
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rafaelpadilla/Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
Python 5,057 -
rafaelpadilla/review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding bβ¦
Python 1,126 -
rafaelpadilla/TCF-LMO
TCF-LMO is a network made with dedicated modules to process videos and identify the presence of anomalies in frames. It is composed by: dissimilarity model; a differentiable morphology module; tempβ¦
Python 12
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