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Grounding DINO: Achieving SOTA Zero-Shot Learning Object Detection
Author(s): Rohini Vaidya Originally published on Towards AI. Enabling Robust and Flexible Detection of Novel Objects without Extensive Retraining or Data Collection The lack of flexibility is a major challenge with most object detection models as they are specifically trained to recognize …
Chromaticity Segmentation 🎨
Author(s): Erika Lacson Originally published on Towards AI. Introduction to Image Processing with Python Episode 6: Image Segmentation — Part 2 (Left) Photo by cottonbro studio in pexels. U+007C (Right) Image processed by the Author. Hello again, my fellow image-processing enthusiasts! U+1F590️ …
Geodesic Active Contours: The Key to Image Object Separation
Author(s): Abhijith S Babu Originally published on Towards AI. Recently I tried a photo editing app that adds custom backgrounds to my image. So I uploaded a photo of me standing in my home and applied a beach background so that the …
Understanding Hyper-parameter-tuning of YOLO’s
Author(s): Chinmay Bhalerao Originally published on Towards AI. Different hyper-parameters and their importance in model building Source: Ultralytics YOLOv8 Docs YOLO (You Only Look Once) is a state-of-the-art object detection system that can detect objects in real-time. YOLOv8 is the latest version …
Segment Anything Model Explained
Author(s): Louis Bouchard Originally published on Towards AI. SAM, promptable segmentation and the largest segmentation dataset to date! Originally published on louisbouchard.ai, read it 2 days before on my blog! Segmentation examples from the SAM model. Segmentation is the ability to take …
How I built Supervised Skin Lesion Segmentation on HAM10000 Dataset
Author(s): Sriram S M Originally published on Towards AI. Skin cancer is one of the most common types of cancer in the world. Its early diagnosis is pivotal for eliminating malignant tumors from the human body. There is a lot of …
Acheiving 33rd Rank (of 186) in a NASA Harvest Field Boundary Detection Challenge in 50 Epochs
Author(s): Ronny Polle Originally published on Towards AI. A full description with ablations and code. source : Zindi.Africa Outline 1. Problem Statement 2. Approach 3. Key Takeaways Problem Statement NASA Harvest Field Boundary Detection challenge is a machine learning challenge organized by …
U-Net Image Segmentation with Convolutional Networks
Author(s): Buse Yaren Tekin Originally published on Towards AI. Step 1: Obtaining the dataset This member-only story is on us. Upgrade to access all of Medium. In our age, semantic segmentation on image data is frequently used for computer vision. U-Net is …
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