Yağmur Çiğdem Aktaş – Medium

Yağmur Çiğdem Aktaş

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CLIP: Multimodal, Foundational magic box of computer vision

Understand the state-of-the-art keywords of AI and create real examples using CLIP, a magical model that is both multimodal and…

Feb 12

CLIP: Multimodal, Foundational magic box of computer vision

Feb 12

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Published in
TDS Archive

Complete MLOPS Cycle for a Computer Vision Project

These days, we encounter (and maybe produce on our own) many computer vision projects, where AI is the hottest topic for new technologies…

Nov 28, 2024

Complete MLOPS Cycle for a Computer Vision Project

Nov 28, 2024

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TDS Archive

Object Detection with Convolutional Neural Networks

Multi-Stage(RCNN, Fast RCNN, Faster RCNN) and Single Stage (SSD, YOLO) architectures for object detection and their usage to train your own…

Jan 30, 2022

Object Detection with Convolutional Neural Networks

Jan 30, 2022

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Object Detection using Lidar

State-of-the-art AI Models for processing Lidar data in order to detect objects: Pointnet, Voxelnet, SECOND, and Pointpillar are explained

Jul 28, 2022

Object Detection using Lidar

Jul 28, 2022

Udemy or Educative, which platform is better for self-training?

Discover which online platform is better for your self-training roadmap

3d ago

Udemy or Educative, which platform is better for self-training?

3d ago

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AI Advances

CLIP vs DINOv2: Which one is better for image retrieval?

Compare CLIP and DINOv2 for image retrieval tasks, and learn about their specific powers and weaknesses to decide the best one for your…

Feb 13

CLIP vs DINOv2: Which one is better for image retrieval?

Feb 13

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TDS Archive

Track Computer Vision Experiments with MLflow

Discover how to set up an efficient MLflow environment to track your experiments, compare and choose the best model for deployment

Dec 26, 2024

Track Computer Vision Experiments with MLflow

Dec 26, 2024

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TDS Archive

An easy way to understand GIT

Intermediate git commands and their meanings explained

Nov 4, 2022

An easy way to understand GIT

Nov 4, 2022

3D Multi-Object Tracking using Lidar

Introduction to Lidar, Autonomous Driving Public Dataset Types, State of the Art Object Recognition Models for Lidar, and a Kalman…

Jul 28, 2022

3D Multi-Object Tracking using Lidar

Jul 28, 2022

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TDS Archive

Image Classification with Convolutional Neural Networks

A comprehensive guide to convolution and convolutional neural networks for image classification, from implementation with Python and…

Jan 4, 2022

Image Classification with Convolutional Neural Networks

Jan 4, 2022

Yağmur Çiğdem Aktaş

Yağmur Çiğdem Aktaş

Computer Vision Enthusiastic & Researcher www.linkedin.com/in/yağmur-cigdem-aktas https://github.com/YCAyca

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