I will annotate data and automate ai image and video generation


About this gig
Need accurate data annotation for your computer vision models or automated AI image and video generation workflows? You are in the right place!
I specialize in high-precision data annotation, labeling, and building automated AI image and video generation pipelines for machine learning models and AI systems.
SERVICES I OFFER:
- Data Annotation & Labeling (Image, Audio & Video Frames)
- 2D/3D Bounding Boxes, Polygon & Semantic Segmentation
- Keypoint, Skeleton & Polyline Object Tracking
- Dataset Export (YOLO v5/v8/v11, COCO JSON, Pascal VOC, CSV)
- Automated AI Image & Video Generation Workflows
- Synthetic AI Data Generation for Machine Learning Models
- Quality Assurance & Dataset Cleaning
TOOLS & PLATFORMS:
CVAT | Roboflow | Label Studio | DALL-E | Midjourney | Stable Diffusion | n8n | Make | Zapier | Python | YOLO | PyTorch
WHY WORK WITH ME?
- 100% High-Precision & Pixel-Accurate Annotations
- Scalable Batch Processing & Synthetic Data Workflows
- Strict Data Privacy & Quality Assurance
- 60 Days post-delivery technical support
Please contact me BEFORE placing an order so we can discuss your dataset requirements and project scope!
Get to know Rifat Milon
AI and Automation Engineer
- FromBangladesh
- Member sinceMay 2026
- Avg. response time2 hours
- Last delivery1 month
Languages
Bengali, English
My Portfolio
Other AI Development Services I Offer
FAQ
Which dataset annotation formats do you support?
I export annotated datasets in all standard machine learning formats including YOLO (v5, v8, v11), COCO JSON, Pascal VOC XML, TFRecord, and custom CSV/TXT.
Which tools do you use for data annotation and labeling?
I use industry-standard tools including CVAT, Roboflow, Label Studio, LabelImg, and Labelme depending on your project requirements.
How do you handle video annotation and frame-by-frame tracking?
I perform object tracking and frame-by-frame bounding box/polygon annotation on video files to train robust computer vision and action recognition models.
What is Synthetic Data Generation and how does it help my model?
Synthetic Data Generation uses AI models (DALL-E, Stable Diffusion) to automatically create synthetic images and augmented datasets when real data is scarce or expensive to collect.
Can you build automated AI image and video generation workflows?
Yes! I build automated generation pipelines using Python scripts, n8n, Make, Zapier, and AI APIs (OpenAI, Midjourney, Flux) to automate batch media creation.
