Hi there 👋

< Computer Vision Expert />

Masters in Computer Vision and Robotics (ViBOT 2023), Université de Bourgogne, France 🇫🇷

Specialty: Real-time Object Detection & Online Camera Calibration

📚 Strong interest in Vision-based Neural Networks and Transformer solutions for real-time detection data
📚 ZeroShot Learning for Model improvement.
👯 I’m always ready to collaborate with other learners
😄 Pronouns: He/Him

Key Skills

Programming Languages: Python, JavaScript (Es7), MATLAB, Unix Shell Scripting
Computer Vision Libraries: OppenMMLab MMdetection, Roboflow Supervision, Detectron2, Hugginface Transformer, Annolid Annotation, OpenCV, PyTorch, .
Machine Learning: CNNs, RNNs, GANs, Transformers, SVMs.
Image Processing: Feature Extraction, Image Segmentation, Object Detection, Image Enhancement.
Front-end Web: React, Next Js, Tailwind, Firebase, Framer Motion, WordPress, Figma, Adobe CC
Tools: Git, Jupyter Notebooks, Colab, ROS, Linux, Mac and Windows

Download CV

Atanda Abdullahi Adewale's Projects

colab_notebooks

Collection of google colaboratory notebooks for fast and easy experiments

detr_submissions_wasoria

Internship Submission at WASORIA LeCreusot, France

elevator-simulator-python

Simulation of the physical working elevator system using Tkinter in Python

ibvs-eye-in-hand-simulation

To simulate an image based visual servo in Gazebo using a camera mounted to a Doosan m0609 robotic arm manipulator and 4 points in Aruco tag as visual features

mscv-submissions

DICOM data extraction, K-space manipulation, qMRI, Shepp-Logan phantom

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.