Vehicle license plate recognition using yolov8 library 🚗

Emotion detection is topic of research now-a-days. This project builds a model that can detect emotions from face images using CNN., YoloV8 Architecture and then AutoML. The model is trained, validated, and tested on a preprocessed and augmented dataset. The best-performing model is used for emotion detection on unseen face images.

i have used 6 defect types which are common in pipeline defect detection.

Object Detection in video streaming from Youtube

Clasificación de imágenes y reconocimiento de objetos mediante la red neuronal convolucional CNN DenseNet y EfficientNet con el modelo frozen model y el framework Coffe. Posteriomente, mediante la red neuronal convolucional CNN MobileNet-SSD y YOLO con el framework TensorFlow

Trained YOLOv8 model on Pose estimation with sperm cells.