Below is a polished, professional project description you can post on Freelancer. It clearly explains the requirements and attracts the right kind of developers. --- ## **Project: YOLOv11 Model Training + Web Dashboard With Image Metadata & GPS Mapping** ### **Overview** I am looking for an experienced AI/ML developer who can train a **YOLOv11 object detection model** using a **predefined image dataset** (which I will provide). The project also requires building a **simple single‑page web interface** that displays image statistics, metadata, and GPS coordinates extracted from drone‑captured images. These coordinates must be plotted on **Google Maps**, showing markers that correspond to each image. --- ## **Project Requirements** ### **1. YOLOv11 Model Development** - Train a **YOLOv11** model using the provided dataset. - Perform data preprocessing, augmentation, and annotation validation if needed. - Provide: - Trained model weights - Inference script - Documentation on how to run the model --- ### **2. Image Metadata Extraction** Each image contains metadata including: - GPS coordinates (latitude & longitude) - Timestamp - Camera/drone information (if available) The system should: - Automatically extract metadata from each image - Display metadata in a clean, readable format on the web page --- ### **3. Web Page Requirements** A simple, clean **single‑page web application** that includes: #### **Image Stats Section** - Total number of images - Detected objects summary (from YOLOv11 inference) - Confidence scores - Any additional useful statistics #### **Image Metadata Viewer** - Display metadata for each image - Show extracted GPS coordinates #### **Google Maps Integration** - Plot each image’s GPS location on Google Maps - Each marker should: - Represent an image capture point - Show a small popup with the image thumbnail + metadata when clicked --- ### **4. Deliverables** - Fully trained YOLOv11 model + weights - Source code for: - Model training - Inference pipeline - Metadata extraction - Web page (HTML/CSS/JS or a simple framework like Flask, Django, Node.js, etc.) - Google Maps integration with API key placeholder - Documentation for setup and usage --- ### **5. Skills Required** - Python (PyTorch, Ultralytics YOLO) - Machine Learning / Computer Vision - Web development (basic front‑end + simple backend) - Experience with Google Maps API - Metadata extraction (EXIF, GPS tags) --- ### **6. Additional Notes** - Dataset will be provided after project award. - Clean, well‑commented code is required. - Preference for someone who has worked with YOLO models before. ---