PRICES START FROM 25K!

Computer Vision Assignment Service — YOLO, OpenCV, and Object Detection

Computer vision is a hot research topic for final projects — from real-time object detection with YOLO to face recognition and medical image segmentation. Jokicodingku implements computer vision tasks using Python and the latest relevant libraries to match your research requirements.

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What We Handle

Implementing real-time object detection using YOLOv8/YOLOv10 with custom datasets and fine-tuning
Image processing with OpenCV: Canny edge detection, morphological transforms, and color filtering
Image classification with CNN (Convolutional Neural Networks) using TensorFlow/Keras or PyTorch
Face detection and recognition using OpenCV, dlib, or DeepFace
Training YOLO models with Roboflow-annotated datasets and evaluating mAP, precision, recall metrics

Why Choose Jokicodingku?

  • Fast delivery with guaranteed deadlines
  • Revision guarantee until you're satisfied
  • Prices starting from 25k, negotiable by difficulty
  • Experienced team across languages and frameworks
  • Privacy guaranteed — your identity and data stay safe

Frequently Asked Questions

Can Jokicodingku help build a dataset for YOLO?

Yes! We can assist with image annotation using LabelImg or Roboflow, then prepare the dataset in YOLO format ready for training. Annotation cost depends on the number of images.

How much does a computer vision assignment cost?

Prices start from 25k for simple OpenCV scripts. A full YOLO detection setup with a custom dataset is typically 150k–500k depending on dataset size and number of object classes.

Is a GPU required for YOLO training? What if I don't have one?

A GPU significantly speeds up training. If you don't have one, Jokicodingku can use Google Colab Pro or our own server for training. You'll receive the trained model file (.pt/.h5) ready to use.

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