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Português
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I will build training ready datasets and yolo models for cctv and video analytics
Nikhil R
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Sobre este Serviço
->I provide training-ready computer vision datasets and custom YOLO object detection models for real-world AI projects. This gig is focused on accurate annotation, clean dataset structure, and reliable model training, not apps or deployments.
->Annotations are delivered in YOLO format, with consistent labeling rules, correct class indexing, and validated bounding boxes. Quality matters poor annotations ruin models, so accuracy is prioritized over speed.
->If selected, I also train a custom YOLO model using PyTorch, delivering trained weights, configuration files, and basic performance metrics (precision, recall, mAP, where applicable). This is ideal for PoCs, MVPs, internal testing, and research work.
->This gig does NOT include app or website integration, API deployment, database integration, or chatbot/LLM work. I deliver datasets and models only. If you already know you need a clean dataset or a working YOLO model for object detection, this service is built for that purpose. Message me before ordering if your scope is unclear.
Conheça mais sobre Nikhil R
Nikhil R
Data annotater
- A partir deÍndia
- Membro desdejun. de 2023
- Responde em aprox.:1 hora
Idiomas
Inglês, Hindi, Telugu
Are you looking for accurate and efficient data annotation to train your AI and machine learning models? I work with unstructured data, turning images, videos, text, and audio into clean, structured datasets ready for AI development.
My Expertise Includes:
Image & Video Annotation: Bounding boxes, polygons, segmentation, and object tracking.
Text Annotation & NLP Tasks: Named entity recognition (NER), sentiment analysis, text classification.
Audio & Speech Annotation: Transcription, speaker identification, speech tagging.
Data Cleaning & Preprocessing: Removing duplicates, handling missin
Perguntas frequentes
What exactly do you deliver in this gig?
I deliver training-ready datasets and, if selected, custom-trained YOLO object detection models. Deliverables may include annotated images, extracted video frames, label files, trained model weights, configuration files, and basic evaluation metrics. I do not deliver apps or APIs or deployed systems
Do you integrate the AI model into my website or application?
No. This gig does not include integration into websites, mobile apps, backend systems, or databases. I provide datasets and trained models only. Deployment or app integration must be handled separately.
What data formats do you support?
I support common image formats (JPG, PNG) and video formats (MP4, AVI, etc.). All annotations are delivered in YOLO format. If you require a different annotation format, confirm before ordering.
Can you work with CCTV or surveillance footage?
Yes. I regularly work with CCTV and surveillance-style videos, including low-resolution or blurry footage, provided the target object is visually detectable.
What YOLO versions do you use?
I work with YOLO-based models using PyTorch, including modern YOLO versions. If you have a specific version requirement, mention it before ordering.
How accurate are the annotations?
Annotations are created manually with consistent labeling rules and basic validation. Accuracy is prioritized over speed. However, model performance also depends on data quality, lighting, camera angle, and class balance.
Will you guarantee a specific accuracy or mAP score?
No. I do not guarantee specific performance metrics. Model results depend heavily on data quality and problem complexity. I provide trained models and metrics, not performance promises.
Can I add more images, videos, or classes later?
Yes, but additional data, new object classes, or major scope changes require an extra order or gig extra. This prevents quality loss and delivery delays.
What do you need from me to start?
You need to provide the images or videos, the object(s) to detect, and any annotation guidelines you already have. If details are unclear, I will ask before starting.
Should I message you before ordering?
Yes. If your project scope is unclear or complex, messaging before ordering is strongly recommended. This avoids misunderstandings and ensures the correct package is selected.
