Hands-on Data Centric Visual AI Course on Coursera
Are you looking for a course to level up your computer vision skills? Take the limited time free course on Data-Centric Visual AI by Voxel51’s Harpreet Sahota on Coursera today!
- 🔍 Discover different labeling approaches, from manual to fully automated
- 🛠️ Master annotation quality for object detection tasks and fix common issues
- 📊 Analyze how bounding box quality impacts model performance and boost label consistency
- ⚙️ Use advanced tools like FiftyOne and CVAT to explore datasets and refine annotations
- 💡 Tackle complex computer vision challenges like occlusions and small object detection
- 🧠 Implement data augmentation techniques to improve model robustness
This course is a must for anyone looking to take their visual AI skills to the next level.
Start learning now how to build high-quality datasets like a pro!
👉 Learn more here: https://www.coursera.org/learn/hands-on-data-centric-visual-ai
🔎 ECCV 2024 Redux
Missed the European Conference on Computer Vision (ECCV) last month? No need for FOMO, we have collected some of the best research from the show into a series of online events in November. Do not forget to register for each of the event days to go over some of the most interesting research presented at ECCV.
- Fast and Photo-realistic Novel View Synthesis from Sparse Images – Avinash Paliwal at Texas A&M University
- Robust Calibration of Large Vision-Language Adapters – Balamurali Murugesan at École de technologie supérieure
- Tree-of-Life Meets AI – Mridul Khurana at Virginia Tech & NSF
- Closing the Gap Between Satellite and Street-View Imagery Using Generative Models – Ningli Xu at The Ohio State University
- High-Efficiency 3D Scene Compression Using Self-Organizing Gaussians – Wieland Morgenstern at Fraunhofer Heinrich Hertz Institute HHI
- Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures – Maximilian R. and Yannick Kirchhoff at Medical Image Computing (MIC) @DKFZ German Cancer Research Center and Heidelberg University
- Zero-shot Video Anomaly Detection: Leveraging Large Language Models for Rule-Based Reasoning – Yuchen Yang at John Hopkins University
- Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models– Xiaoyu Zhu at Carnegie Mellon
🎙️ Good Listens
🗓️. Upcoming In-Person Events
Check out these upcoming In-Person AI, machine learning and computer vision events! View the full calendar and register for an event.
🗓️. Upcoming Virtual Events
Check out these upcoming Virtual AI, machine learning and computer vision events! View the full calendar and register for an event.
