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I will do professional image annotation and data labeling for ai
AI Engineer and Backend Developer
I am a passionate and versatile professional with a strong foundation in data science, artificial intelligence, and Python-based development. I have experience in software development, technical inter...
About this Gig
Looking for high-quality, pixel-perfect data labeling to train your computer vision models? You are in the right place!
I provide professional, manual image annotation and data labeling services tailored for AI, machine learning, and computer vision projects. Accurate annotations are the backbone of any successful ML model, and I ensure meticulous attention to detail to deliver ground-truth data with maximum precision.
Services Offered:
- Bounding Boxes: Perfect 2D rectangles for object detection.
- Polygon Annotation: Precise tracing for complex shapes and semantic segmentation.
- Key Point / Landmark Labeling: For facial, skeletal, or pose estimation.
- Line / Lane Annotation: For autonomous driving systems.
- Image Classification: Tagging and categorization.
️ Tools & Formats Supported:
- Tools: CVAT, LabelImg, Labelme, Roboflow, VGG, or your custom platform.
- Output Formats: YOLO (txt), Pascal VOC (xml), JSON, COCO, CSV.
Why Choose Me?
- 100% Quality Assurance: Rigorous manual validationno sloppy automated rush jobs.
- Scale & Speed: Efficient handling of large datasets with on-time delivery.
- Data Privacy: Your data is completely secure and confidential.
Please feel free to contact me.
Technique:
Manual
Tagging type:
Image
•
Video
My Portfolio
FAQ
Question: What tools do you use for image annotation and data labeling?
Answer: I am highly proficient with industry-standard tools including CVAT, Roboflow, LabelImg, Labelme, and VGG Image Annotator (VIA). If your team utilizes a proprietary or custom cloud-based annotation platform, I can easily adapt to your workflow.
Question: Which output formats can you deliver?
Answer: I can deliver data in almost any format required by your pipeline. Common formats include YOLO (txt), Pascal VOC (xml), JSON, COCO, and CSV. Please specify your preferred format when sharing your project guidelines.
Question: How do you ensure the accuracy and quality of the annotations?
Answer: Quality is my top priority. Every dataset goes through a rigorous manual multi-pass review process. I verify bounding box tight fits, correct class assignments, and pixel-level precision for polygon segmentation to eliminate noise and ensure high-quality ground truth data.
Question: Is my project data safe and confidential with you?
Answer: Absolutely. I maintain strict data privacy standards. Your datasets, source images, and proprietary assets will never be shared, repurposed, or leaked to third parties. If required, I am open to signing a Non-Disclosure Agreement (NDA).
Question: Can you handle large, ongoing datasets or custom workflows?
Answer: Yes, I am fully equipped to handle large-scale data annotation workloads. For custom pipelines or massive datasets that exceed the premium package, please message me directly so we can set up a custom order tailored to your specific timeline and guidelines.
