I will annotate images and video for object detection and segmentation datasets

Parte de la información aparece en idioma inglés.

Pakistán

Hablo Urdu, Inglés

Computer Vision Engineer, YOLO and Real Time Deployment

Computer Vision Engineer specializing in YOLO object detection, real-time deployment, and dataset quality auditing. I build pipelines in PyTorch, OpenCV, YOLO, and TensorRT, including multithreaded r...
Acerca de este Servicio

Accurate bounding box and polygon annotation for computer vision training data, delivered in the format your pipeline expects.


I am a computer vision engineer, not a labeling contractor. That shows up in the edge cases: occluded objects, ambiguous class boundaries, and instances near the resolution limit. I label the way a model needs to be taught, and I flag the decisions you should make rather than quietly guessing for you.


WHAT YOU RECEIVE


Bounding boxes or polygon segmentation masks

Export in YOLO, COCO JSON, or Pascal VOC XML

Class distribution summary so you see imbalance before you train

Notes on ambiguous cases and how I resolved them


Standard and Premium include a second pass QA review of every annotation.


Premium includes a leakage safe train val test split, grouped so near duplicate frames cannot land on both sides and inflate your validation score.


Video frame extraction is included at no extra cost. Send raw footage and your sampling rate.


Message me with your image count and class list for an exact quote.

Técnica:

Manual

Tipo de etiquetado:

Imagen

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Video

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