Image Segmentation Made Easy: A Guide to Ilastik and EasIlastik for Non-Experts
Author(s): Titouan Le Gourrierec Originally published on Towards AI. Example of the results obtainable after this tutorial (by author) Introduction Image segmentation plays a key role in various fields, from identifying cells in biological research to analyzing regions in satellite imagery. However, …
Creating Custom Image Filters With Opencv
Author(s): Parth Mahakal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author A variety of different artistic, and stylistic, optical image-capture methods are offered by this group of filters. The Thermal …
Making Red Light Green Light Game Possible With Computer Vision?
Author(s): Parth Mahakal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author Red Light, Green Light in North America, and Grandma’s/ Grandmother’s Footsteps or Fairy Footsteps in the United Kingdom is …
Understanding Vision Transformers (ViTs)
Author(s): Yash Thube Originally published on Towards AI. Understanding Vision Transformers (ViTs) And what I learned while implementing them! Transformers have revolutionized natural language processing (NLP), powering models like GPT and BERT. But recently, they’ve also been making waves in computer vision. …
AlexNet: The Deep Learning Breakthrough That Changed Computer Vision
Author(s): Kshitij Darwhekar Originally published on Towards AI. This article delves into AlexNet’s journey, from its groundbreaking architecture and innovations to its lasting impact on the field of deep learning. Explore the key features, techniques to reduce overfitting, and its legacy in …
Organise Photo Dumps With AI: Face Recognition & Reverse Image Search
Author(s): Tapan Babbar Originally published on Towards AI. Source: Giphy Have you ever been handed a party photo dump so massive that scrolling through it feels like running an endless marathon of blurry dance moves, awkward smiles, and random shoes? It leaves …
PaddleOCR: GPU Integration and Troubleshooting
Author(s): Areeb Adnan Khan Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Hugging Face Demo Optical Character Recognition (OCR) is a game-changer for tasks like text extraction from images, document processing, and …
The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them
Author(s): Prashant Kalepu Originally published on Towards AI. The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, it’s time to reflect on the …
Real-Time Object Detection using YoloV7 on Google Colab
Author(s): Adijsad Originally published on Towards AI. Want to test your video using Yolov7 and Google Colab? Learn how to make real-time object detection using your videos in this tutorial This member-only story is on us. Upgrade to access all of Medium. …
![[AI/ML] Spatial Transformer Networks (STN) — Overview, Challenges And Proposed Improvements](https://miro.medium.com/v2/resize:fit:700/1*zsztycoAQskDzCeEJISPWQ.png "[AI/ML] Spatial Transformer Networks (STN) — Overview, Challenges And Proposed Improvements")
[AI/ML] Spatial Transformer Networks (STN) — Overview, Challenges And Proposed Improvements
Author(s): Shashwat Gupta Originally published on Towards AI. The modification of dynamic spatial information through spatial transformer networks (STNs) allows models to handle transformations such as scaling and rotation for subsequent tasks. They enhance recognition accuracy by enabling models to focus on …
Faster Knowledge Distillation Using Uncertainty-Aware Mixup
Author(s): Tata Ganesh Originally published on Towards AI. Photo by Jaredd Craig on Unsplash In this article, we will review the paper titled “Computation-Efficient Knowledge Distillation via Uncertainty-Aware Mixup” [1], which aims to reduce the computational cost associated with distilling the knowledge …
Enhance OCR with Llama 3.2-Vision using Ollama
Author(s): Tapan Babbar Originally published on Towards AI. Source: Image by the author. Earlier this month, I dipped my toes into book cover recognition, combining YOLOv10, EasyOCR, and Llama 3 into a seamless workflow. The result? I was confidently extracting titles and …
Building Trustworthy AI: Interpretability in Vision and Linguistic Models
Author(s): Rohan Vij Originally published on Towards AI. Building Trustworthy AI: Interpretability in Vision and Linguistic Models Photo by Arteum.ro on Unsplash | What thoughts lie behind that eye? The rise of large artificial intelligence (AI) models trained using self-supervised deep learning …
OCR with AI and LLM — A New Era of Intelligent Document Processing
Author(s): Tarun Singh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. What if you could effortlessly extract critical data from complex PDFs or scanned documents with the power of AI? Imagine transforming hours …
Vision Embedding Comparison for Image Similarity Search: EfficientNet vs. ViT vs. VINO vs. CLIP vs. BLIP2
Author(s): Yuki Shizuya Originally published on Towards AI. Photo by gilber franco on Unsplash Recently, I needed to research image similarity search. I wonder if there are any differences among embeddings based on the architecture training methods. However, few blogs compare embeddings …
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