I will develop a **computer vision model** for object detection, classification, or segmentation.
**Technologies:**
- YOLOv8 / YOLOv10 for real-time detection
- TensorFlow + Keras for classification
- PyTorch + Detectron2 for segmentation
- Transfer learning on your custom dataset
**Use cases:** Product quality control, face recognition, document OCR, satellite image analysis, medical imaging.
Frequently Asked Questions
Minimum 200 labeled images per class for transfer learning. I can also set up a labeling workflow.
Typical benchmark accuracy for well-labeled datasets: 85–95%. I provide detailed evaluation metrics.
$349
Computer Vision Model (Object Detection/Classifica...
I will develop a **computer vision model** for object detection, classification, or segmentation.
*...