Beginners can start with simple projects like building a face detection app using OpenCV’s Haar cascades. This introduces basic concepts like image processing and feature detection. Intermediate learners can develop an object detection model using TensorFlow or PyTorch, training it on datasets like COCO or Pascal VOC. Advanced projects include implementing a real-time action recognition system using 3D CNNs or building an augmented reality app that overlays virtual objects on a live video feed. Participating in Kaggle competitions or contributing to open-source computer vision projects can also deepen your understanding.
What projects can I do to learn computer vision?
- The Definitive Guide to Building RAG Apps with LlamaIndex
- Getting Started with Zilliz Cloud
- Natural Language Processing (NLP) Basics
- Optimizing Your RAG Applications: Strategies and Methods
- Information Retrieval 101
- All learn series →
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