quail_egg_detection

Model Card for Model ID

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This repository contains a machine learning model trained for the purpose of detecting quail eggs in images.

Model Details

Model Description

Leveraging the Quail Egg Detection Dataset, this model utilizes the YOLOv8 architecture, specifically the YOLOv8 Large variant from Ultralytics, known for its efficiency and accuracy in object detection tasks.

• Developed by: Jan Martens
• Model type: Object Detection
• Language(s) (NLP): python --> yoloV8
• Finetuned from model [optional]: yoloV8_large

Model Sources [optional]

This model was trained using self-taken images in my henhouse and some additional ones in a classroom setting. The dataset can be found at "jan-martens0124/quail_egg"

Uses

Can be used to detect quail_eggs in a henhouse. It distingquisches quail_eggs from quails and other types of eggs.

Downstream Use [optional]

When furhter trained, this model could be used to distinguish between different kind of eggs.

Bias, Risks, and Limitations

Sometimes, eastereggs with fancy packaging that has high-contrast silver paper are recognized as a quail egg. Also white chocolate eggs are often incorrectly identified. [More Information Needed]

How to Get Started with the Model

You can use the code in the folder 'code' to get started with the model. The python-script detect_on_video_for_loop.py contains a script to let the model infer with your webcam or a video-file on your pc.