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I will do data annotation and image labeling for ai datasets
About this Gig
Need high-quality data annotation for AI and machine learning? I will accurately label your images, videos, and text using bounding boxes, polygons, keypoints, and segmentation techniques to create high-quality datasets for AI training.
My Annotation Services Include:
Bounding Box Annotation- For object detection (YOLO, COCO, Pascal VOC).
Polygon Annotation Best for irregular shapes (autonomous driving, medical AI).
Semantic Segmentation Pixel-perfect annotations for deep learning models.
Keypoint & Landmark Annotation For facial recognition, pose estimation, etc.
Video Annotation & Object Tracking Frame-by-frame labeling for action recognition.
Text & NLP Annotation Named entity recognition, sentiment analysis, OCR datasets.
3D Point Cloud Annotation (LiDAR data for self-driving cars and robotics).
Tools I Use for Annotation:
CVAT, LabelMe, LabelImg, V7 Labs, Supervisely, Roboflow, RectLabel, Makesense.ai, VIA, Label Studio
I deliver precise, high-quality, and manually verified annotations for AI models used in:
Autonomous Driving | Medical Imaging | ️ Retail & E-commerce | Robotics & AI Research | Surveillance & Security
Why Choose Me?
100% Manual & High-Precision Annotations
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
My Portfolio
FAQ
1. What types of data annotation services do you offer?
I offer a variety of data annotation services for both images and videos, including: Bounding Boxes: Used for object detection and localization. Object Tracking: Tracks objects across video frames. Semantic Segmentation: Pixel-level annotation to classify every pixel in an image or video frame.
2. What kind of formats do you deliver the annotated data in?
I deliver annotated data in a variety of user-friendly formats, including: JSON XML CSV Pascal VOC COCO Format YOLO Format
3. How do you ensure the accuracy of the annotations?
Accuracy is my top priority. I follow best practices developed from annotating millions of images and videos. Each annotation is manually reviewed for precision. Additionally, I can offer quality assurance checks to ensure consistency across large datasets.
4. What is the typical turnaround time for an annotation project?
The turnaround time depends on the size and complexity of the project. For smaller datasets (e.g., hundreds of images), the process usually takes a few days. Larger projects (thousands of images or videos) might take longer, but I will provide an estimated timeline based on your specific needs.
5. Do you offer revisions if I’m not satisfied with the annotations?
Yes, I offer unlimited revisions until you are completely satisfied with the annotations. If any part of the work doesn't meet your expectations or the specifications, I’ll make the necessary adjustments to ensure it aligns perfectly with your project requirements.
6. How do I get started?
Simply contact me with details about your project, including: Type of annotation you need (bounding boxes, tracking, segmentation, etc.). The number of images/videos. Any specific guidelines or requirements. The preferred format for the annotations.
7. What industries can benefit from your data annotation services?
My data annotation services are beneficial for a wide range of industries, including: AI Research: Training machine learning models. Autonomous Vehicles: Object detection and tracking for self-driving cars. Healthcare: Medical image annotation for diagnostic models. Retail: Product recognition.
8. How do I communicate my project requirements?
The best way to communicate your project requirements is to send me a message with all relevant details. If you have sample data or files, feel free to share them, and I’ll be able to provide a more precise quote and timeline.
9. What makes my annotation services stand out?
What sets my services apart is my commitment to quality, accuracy, and customization. I don’t rely on automated tools that might compromise the precision of your data. Instead, I manually annotate each item to ensure it meets the highest standards.
