Seeking Advice for Fine-Tuning YOLOv8 to Detect Small Anomalies in Bulk Products

Hi everyone,

I'm working on a project where I'm aiming to develop a YOLOv8 model with the capability to detect small anomalies within sets of bulk products. These anomalies could include residual sticks in coffee, nuts mixed with screws, or even tiny stones among lentils. I'd greatly appreciate your insights and guidance on how to fine-tune the model effectively for this challenging task.

Here are some key details about my project:

* **Dataset:** I've collected a dataset comprising 6218 training …

advice bulk capability coffee computervision fine-tuning mixed products project residual small