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Nederlands
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I will do professional data annotation, bounding boxes, and segmentation masks
Over deze dienst
Professional Computer Vision Data Annotation & Image Labeling Services
High-quality machine learning models require flawless ground truth data. If you need clean, precise datasets for object detection, instance segmentation, or semantic segmentation pipelines, I am here to deliver.
I provide highly detailed manual annotation using top industry tools (CVAT, Roboflow, LabelImg, Labelme) to ensure your YOLO or custom network trains perfectly.
What I Offer:
Bounding Boxes: Highly accurate rectangles with flawless tight boundaries around targets for object detection.
Segmentation Masks: Pixel-level polygon tracking for complex shapes, semantic segmentation, and object boundaries.
Keypoint Labeling: Facial/object landmarks and skeletal tracking structures.
Supported Formats: YOLO (text), COCO (JSON), Pascal VOC (XML), and custom coordinate formats.
Why Work With Me?
- Engineering Background: I understand how data formats directly affect custom loss functions.
- Unmatched Accuracy: Zero loose margins or mislabeled classes.
- Super Competitive Pricing: Launch rates set specifically to build custom long-term pipelines.
Techniek:
Handleiding
Type tagging:
Tekst
•
Afbeelding
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Video
Veelgestelde vragen
Which annotation tools and output formats do you support?
I am highly experienced with industry-standard platforms including CVAT, Roboflow, LabelImg, and Labelme. I can deliver your completed dataset in virtually any format your pipeline requires, such as YOLO (TXT), COCO (JSON), Pascal VOC (XML), or custom CSV coordinate masks.
How do you ensure high annotation accuracy for complex segmentation masks?
Because I have a strong background in intelligent systems and engineering, I understand how crucial pixel-level precision is to prevent loss functions from exploding during training. Every polygon or bounding box is manually traced with tight boundaries.
Can you handle large-scale datasets or custom video annotation projects?
Absolutely. While my gig packages are structured for quick-turnaround batches, I am fully equipped to handle massive datasets containing thousands of images or long video sequences.
