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$
USD
I will provide high precision video annotation and cvat object tracking
About this Gig
High-Precision Data Annotation & CVAT Video Tracking
Looking for pixel-perfect training data? I provide expert data labeling and video annotation with a focus on technical integrity. I don't just label ensure your data is model-ready.
What I Offer:
- 2D Bounding Boxes: High-precision object recognition.
- Polygons & Masking: Detailed semantic segmentation for complex shapes.
- Video Tracking: Expert use of CVAT for tracking and interpolation.
- Frame Filtering: Identifying and eliminating blurry or unusable frames.
- Temporal Consistency: Ensuring stable object IDs across video sequences.
Why Choose Me?
- 98%+ Accuracy: Rigorous manual checks on every frame.
- Python QA Validation: Custom scripts to verify mask integrity and data consistency.
- Scalable Delivery: Fast, high-quality results for 100 to 1,500+ items.
- Unlimited Revisions: I stay with you until the data is perfect.
Tools: CVAT, Label box, Roboflow, and Python.
Please contact me before ordering to discuss your specific project and format needs (YOLO, COCO, JSON, etc.)!
Technique:
Manual
Tagging type:
Text
•
Image
•
Video
FAQ
In what formats can you deliver the final annotations?
I can provide data in all major industry formats, including YOLO (v5, v8, v11), COCO JSON, Pascal VOC XML, CSV, and MOT. If you have a custom requirement, just let me know!
How do you guarantee 98%+ accuracy?
I use a two-step verification process: A rigorous manual frame-by-frame review. A custom Python QA script that automatically checks for mask integrity, label consistency, and empty frames before delivery.
Which annotation tools do you use?
I am an expert in CVAT (especially for video tracking), but I am also highly proficient in Labelbox, Roboflow, and VGG Image Annotator (VIA).
Is my data secure and confidential?
Absolutely. I understand the sensitive nature of AI training data. I am happy to sign an NDA if required, and all data is deleted from my local system once the project is successfully completed.
