You will get labelled dataset using my auto-tool with just one click or a text prompt.
Project details
You will get a fast, accurate, and production-ready auto-labeling solution for computer vision datasets, designed to drastically reduce manual annotation time and cost.
I specialize in industrial and real-world vision problems (PCB/AOI, defect detection, object detection), and I build custom auto-labeling pipelines using modern segmentation and vision models.
My solution allows you to label datasets using text prompts or geometric guidance, then automatically apply learned classes across your entire dataset. Outputs are delivered in YOLO and COCO formats, ready for training.
I offer flexible plans—from pure auto-labeling to labeling + augmentation, up to a complete end-to-end pipeline that trains and validates your detection model.
If you want faster dataset preparation, consistent labels, and a scalable workflow without vendor lock-in, this service is built for you.
I specialize in industrial and real-world vision problems (PCB/AOI, defect detection, object detection), and I build custom auto-labeling pipelines using modern segmentation and vision models.
My solution allows you to label datasets using text prompts or geometric guidance, then automatically apply learned classes across your entire dataset. Outputs are delivered in YOLO and COCO formats, ready for training.
I offer flexible plans—from pure auto-labeling to labeling + augmentation, up to a complete end-to-end pipeline that trains and validates your detection model.
If you want faster dataset preparation, consistent labels, and a scalable workflow without vendor lock-in, this service is built for you.
AI Development Type
Deep Learning, Model TuningAI Tools
OpenCV, PyTorchAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$100
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 7 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20About Saroj
Computer Vision & Robotics Engineer | UR Robots | IBVS | Deep Learning
Belonia, India - 3:56 am local time
Most CV engineers can train a model. I go further: I deploy it on a robot arm, integrate it with real hardware, and make it accurate enough to trust on a factory floor. My current system achieves 0.1mm positional accuracy on a Universal Robot using image-based visual servoing (IBVS) and YOLOv12 — running live in a German manufacturing environment.
What I can build for you:
— Vision-guided robot arms (pick and place, assembly, inspection) using UR, Yaskawa, Igus, Epson
— Object detection and pose estimation pipelines (YOLO, PointNet, OAK cameras, Intel RealSense)
— Barcode / QR / DataMatrix scanning systems at high throughput
— Anomaly detection for quality control (one-shot and few-shot)
— End-to-end data labeling → model training → deployment pipelines
— RAG chatbots and AI automation workflows (N8N, Python)
— Robot simulation and algorithm prototyping in PyBullet
My background:
MSc in Mechatronics & Robotics (GPA 1.4), BSc in Mechanical Engineering — I combine the hardware understanding with the software to implement it. I've deployed systems using RaspberryPi, OAK-1 cameras, Universal Robots, and custom sequencers in real production environments.
I work in Python, C++, Linux. I'm based in Germany (CET timezone) and communicate in English and German.
If you have a robotics or vision problem that needs to actually work — not just a demo — let's talk.
Steps for completing your project
After purchasing the project, send requirements so Saroj can start the project.
Delivery time starts when Saroj receives requirements from you.
Saroj works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the use-case
Modify the tool if needed