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
Provides system software and hardware to proactively prevent crowd fluidization and crowd collisions.
Trained YOLOv8 model on Pose estimation with sperm cells.
Image classification and object recognition using the CNN DenseNet and EfficientNet convolutional neural networks with the Frozen Model and the Coffe framework. Subsequently, using the CNN MobileNet-SSD and YOLO convolutional neural networks with the TensorFlow framework.
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