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I will build custom object detection app using yolo and opencv
Vignesh
About this gig
Need a working computer vision system, not just a tutorial script? I build real, deployable projects using YOLO (v5/v8) and OpenCV from simple detection scripts to full real-time applications.
What I Offer:
- Custom object detection & classification (YOLOv5/v8)
- Real-time video/webcam detection & tracking
- Image processing & preprocessing pipelines
- Custom dataset training & model fine-tuning
- Integration into web/desktop apps (Flask, Django, React)
- Face detection, license plate recognition, PPE detection, counting systems
- Clean, documented, ready-to-run code
Why Work With Me?
- Real project experience, not just pretrained demos
- Clear communication, regular updates
- Well-documented, reusable code
- On-time delivery, revisions included
- Post-delivery support for bugs
Who This Is For:
Startups, researchers, students, and businesses needing object detection, surveillance, automation, or image analysis tools.
Message me your use case before ordering dataset, classes needed, and deployment target so I can recommend the right package.
Get to know Vignesh
Vignesh
Python Developer : Machine Learning Engineer : AI Solutions Expert
- FromIndia
- Member sinceJul 2020
- Last delivery1 year
Languages
Tamil, English
🔹 3+ years experience in Python development and Machine Learning
🔹 Expert in OCR solutions, AI model deployment, and data cleaning
🔹 Specialized in Django, FastAPI, MongoDB, and Docker
🔹 I provide fast delivery, clear communication, and 100% client satisfaction
Let's build something amazing together! 🚀
Other AI Development Services I Offer
FAQ
Do you use pretrained models or train custom ones?
Both, depending on your package. Basic uses a pretrained YOLO model (80 common COCO classes like people, cars, animals). Standard and Premium include custom training on your own classes/dataset for higher accuracy on your specific use case.
I don't have a labeled dataset — can you still help?
Yes. I can work with raw images/video and handle labeling and annotation as part of Standard/Premium packages, or recommend annotation tools if you'd like to do it yourself first.
Can this run in real-time on a live camera feed?
Yes — real-time webcam/IP camera detection is included in the Premium package. Basic and Standard are optimized for static images or pre-recorded video; real-time performance depends on your hardware (GPU recommended for smooth FPS).
What accuracy can I expect?
It depends on your dataset quality, class complexity, and lighting/angle conditions. Pretrained models work well for common objects out of the box. Custom-trained models typically perform better on your specific use case, but I'll always be upfront about realistic accuracy before we start — not afte
Will I get the trained model file and source code?
Yes, source code and the trained model weights are included in Standard and Premium. Basic includes the working script; full source + model export available as an add-on.
Can you integrate this into my existing web or desktop app?
Absolutely. I can deliver a standalone script or integrate detection directly into a Flask/Django/React app, or a desktop application — just let me know your setup in the buyer requirements.
What if my dataset is small? Will the model still work well?
Small datasets can still work using techniques like data augmentation and transfer learning, but I'll be honest about limitations upfront. For best results, I generally recommend at least 100–200 labeled images per class, though this varies by use case.
Do you offer support after delivery if something breaks?
Yes — Premium includes 30 days of post-launch support. Basic and Standard include bug fixes within the revision window; ongoing support beyond that can be arranged separately.
What hardware do I need to run this myself?
For basic image detection, a standard CPU works fine. For real-time video/webcam detection at good FPS, a GPU (even an entry-level NVIDIA GPU) is strongly recommended — I'll advise on this based on your specific use case.
Can you detect very specific or unusual objects (not common categories)?
Yes, that's exactly what custom training is for — as long as you can provide (or help me source) sample images of the object, I can train a model to detect it.
