What's included

• Service Name: Deep Learning and Computer Vision Solutions Description: Cutting-edge solutions leveraging deep learning techniques for computer vision tasks. Target Audience: Businesses, researchers, and organizations seeking advanced visual intelligence.

  Custom Object Detection Model: Develop and fine-tune an object detection model (e.g., YOLOv5, EfficientDet) tailored to specific use cases. Deliver the trained model, evaluation metrics, and inference code. Optional: Provide deployment support (e.g., Dockerized model, API integration). Semantic Segmentation Solution: Create a semantic segmentation pipeline using U-Net or DeepLab. Deliver pixel-wise segmentation masks for various classes (e.g., road, buildings, vegetation). Include documentation on model architecture and training process. Real-time Face Recognition System: Build a robust face recognition system using deep embeddings (e.g., FaceNet). Deliver a pre-trained model capable of identifying individuals from images or video streams. Provide guidelines for deployment and scalability. Speed Estimation Algorithm for Traffic Surveillance: Develop an algorithm to estimate vehicle speeds from video footage. Use optical flow, tracking, and timestamp data. Deliver a Python script or Jupyter notebook with clear instructions. Custom Image Captioning Model: Train an image captioning model (e.g., CNN + LSTM) to generate descriptive captions. Provide a model that can describe complex scenes in natural language. Include a demo application or API endpoint.