Name: Prince kumar
Type: User
Company: Skylarklabs
Bio: š Data Scientist passionate about turning data into insights.
š§ Skilled in Python, AWS, OpenCV, Pyspark, and more.
š Expertise in EDA, Modeling, Deployment
Location: Pune
Prince kumar's Projects
The project presents a comparative study of Brain Tumor Segmentation using 3 approaches - 1) Sobel Operator and U-Net, 2) V-Net, 3) W-Net
Brain Tumor segmentation using U-NET
NVIDIA DeepStream SDK 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
I have implemented yolov5 on custom dataset
Download and visualize single or multiple classes from the huge Open Images v4 dataset
Handwritten Text Recognition (HTR) system implemented with TensorFlow.
Smart CBCT analysis using Deep Learning:
System for detecting positional accuracy of workpieces in jewellery artwork
NEW - YOLOv8 š in PyTorch > ONNX > OpenVINO > CoreML > TFLite
Real time face detection streamlit based bew application for server deployment.
YOLOv5 š in PyTorch > ONNX > CoreML > TFLite
YOLOv5-ODConvNeXt is an improved version of YOLOv5 for ship detection on drone-captured images.
Real-time multi-object tracking and segmentation using YOLOv8