You will get Custom labeled traffic datasets for autonomous AI models
Project details
Autonomous driving models often fail in chaotic, unstructured traffic environments like South Asia due to unpredictable vehicles, non-lane discipline, and diverse weather conditions. At Nexpak AI, we bridge this gap by delivering precisely labeled computer vision datasets tailored for edge-case training.
What We Deliver:
Custom annotation formats (YOLO, COCO, Pascal VOC, CVAT)
High-density bounding boxes and tracking IDs for mixed traffic (Rickshaws, Bikes, Pedestrians, Heavy Vehicles)
Multi-weather and day/night light conditions
Model-ready validation and balance report
Train your AI models on real-world chaotic conditions, not clean simulations. Get production-ready datasets tailored to your exact AI architecture
What We Deliver:
Custom annotation formats (YOLO, COCO, Pascal VOC, CVAT)
High-density bounding boxes and tracking IDs for mixed traffic (Rickshaws, Bikes, Pedestrians, Heavy Vehicles)
Multi-weather and day/night light conditions
Model-ready validation and balance report
Train your AI models on real-world chaotic conditions, not clean simulations. Get production-ready datasets tailored to your exact AI architecture
What's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 1 | 2 |
Number of Scenarios | 1 | 2 | 2 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
About NexPak
AI & Machine Learning | Image Annotation, AI Data Annotation Tools
Faisalabad, Pakistan - 2:28 pm local time
In the world of Computer Vision and Machine Learning, a model is only as good as the data training it. Poorly labeled data leads to failed models. That is why I specialize in building, curating, and annotating high-precision datasets that integrate seamlessly into your AI pipelines.
I have extensive hands-on experience managing end-to-end data pipelines. Most recently, I built a proprietary dataset of 2,500+ high-quality images capturing complex local traffic dynamics and regional infrastructure, meticulously labeled for object detection models.
My Core Technical Expertise Includes:
• Data Annotation: High-precision Bounding Boxes, Polygons, and Semantic Segmentation.
• Format Compliance: Fully proficient in exporting flawless YOLO.
• Quality Assurance: Stringent multi-pass verification to minimize labeling errors and handle complex edge cases.
• Dataset Sourcing: Custom real-world image and video data collection tailored to specific environments or geographical terrains.
Whether you need a massive dataset annotated from scratch, custom localized data collected for niche edge cases, or a reliable long-term data partner to scale your AI training operations, I deliver clean, production-ready data on time.
Let’s connect to discuss your model requirements and set up a trial batch.
Steps for completing your project
After purchasing the project, send requirements so NexPak can start the project.
Delivery time starts when NexPak receives requirements from you.
NexPak works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements & Scope Confirmation
We review your target classes, camera specifications, annotation format (e.g., YOLO/COCO), and specific traffic scenarios.
Data Selection & Pre-processing
We filter and curate image frames based on your desired lighting, density, and weather parameters to ensure optimal variety.