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I will yolo object detection tracking and image segmentation model
About this Gig
Struggling to detect, track, or segment objects accurately in images and videos? You need a trained YOLO model built specifically for your dataset not a generic demo.
I build custom YOLO object detection, tracking, and image segmentation models using YOLOv8, YOLOv11, and OpenCV for any real-world task.
SERVICES I PROVIDE:
- Custom YOLO model training on your dataset
- Real-time object detection in images and live video
- Multi-object tracking with unique ID assignment
- Instance and semantic image segmentation
- Object counting and zone-based monitoring
- Model export for edge devices (Raspberry Pi, Jetson)
- Full Python source code with documentation
WHY CHOOSE ME:
- 3+ years building production-grade CV systems
- Clean, well-commented Python code delivered
- I test on your actual data before delivery
- Fast response and free post-delivery support
I work with manufacturing defect inspection, security surveillance, retail analytics, drone footage, and medical imaging datasets.
Message me with your dataset details and I will confirm feasibility before you order.
Other Data Science & ML Services I Offer
FAQ
Can you train a YOLO model if my dataset has fewer than 500 images?
Yes. I apply data augmentation techniques including flipping, cropping, brightness variation, and mosaic augmentation to artificially expand small datasets. For very small datasets (under 200 images), I recommend transfer learning from a pretrained YOLO backbone, which I include as standard practice
What format do you need my images and labels in before we start?
I accept raw unannotated images, COCO JSON, Pascal VOC XML, or YOLO TXT format. If your images are not yet labeled, I can annotate them as an add-on using Robo flow or CVAT. I also accept video files and will extract frames and label them for training.
Will the trained model run on my laptop or does it need a cloud server?
It depends on your speed requirements. YOLO models can run on CPU for basic detection tasks on a standard laptop. For real-time video at 30+ FPS, a GPU is recommended. I can also export the model to ONNX or TensorRT format optimized for edge devices like Jetson Nano or Raspberry Pi 5.
