Successfully Trained YOLOv5 for Egg Counting: Need Advice on Real-Time Detection
Hey everyone! I wanted to give you an update on my egg-counting project. I decided to train a model using a dataset from Roboflow and chose YOLOv5 as the model. After setting up all the necessary dependencies in VS Code, I started training, but it was taking a really long time. So, I switched to Google Colab for its free GPU support, which turned out to be a great decision, the training only took 20 minutes!
I tested a few different egg images, and they were successfully detected and counted! My next goal is to implement real-time detection. Does anyone have any suggestions on the best approach for that?
I tested a few different egg images, and they were successfully detected and counted! My next goal is to implement real-time detection. Does anyone have any suggestions on the best approach for that?
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