Challenge: Object Detection with Custom Model and YOLO
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In this task, you'll dive into the world of object detection using deep learning. First, you'll build your own object detection model from scratch using Keras. Then, you'll load a pretrained YOLOv8 model and apply it to the same dataset.
Along the way, you'll:
- Train a simple Keras-based object detector;
- Load and run predictions with a YOLOv8 model trained on the same data;
- Evaluate its performance on real validation images;
- Compare results and understand the gap between custom models and state-of-the-art ones.
In the middle of the notebook, you'll reflect on why building detection models from scratch can be limiting — and briefly mention the importance of transfer learning for practical applications.
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セクション 4. 章 8
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セクション 4. 章 8
