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Training YOLOv8 with KerasCV on Custom Traffic Light Dataset
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Dive into the world of object detection with the robustness of YOLOv8, now seamlessly integrated into the KerasCV framework! In today's session, we venture into fine-tuning YOLOv8 for a specialized application - traffic light detection. A crucial component for Advanced Driver Assistance Systems (ADAS).
Discover:
✅ The nuances of the Traffic Light Detection Dataset.
✅ The steps to wield YOLOv8 using KerasCV for custom datasets.
✅ A demonstration of inference on validation images.
✅ YOLOv8's prowess in real-time video inference.
Missed our previous session?
We covered an in-depth overview of the KerasCV library last week. Ensure to check it out!
Join us as we demystify the steps to train YOLOv8 on custom data using KerasCV. Let's illuminate our path with AI!
Resources:
Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
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#KerasCV #ObjectDetection #KerasCV #YOLOv8 #TrafficLightDetection #ADAS #AI #DeepLearning
#ComputerVisionEvolution #TensorFlow #PyTorch #FutureOfCV #KerasReinvented
#MachineLearning #ArtificialIntelligence #DeepLearning #AI #opencvuniversity #deeplearning #computervision #learnopencv #opencv
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