WISEPL

Data Annotation for Aerial & Drone Imagery

From agriculture and construction to mapping, surveillance, infrastructure inspection, and autonomous systems, high-quality annotations are the foundation of accurate AI models.

Wisepl deliver reliable and scalable annotation services for:

Object Detection

Segmentation & Polygon Annotation

Bounding Boxes

Instance Segmentation

Land Use & Land Cover Labeling

Road, Building & Infrastructure Mapping

Vehicle, Human & Asset Tracking

Custom Annotation Workflows

Our experienced team ensures accuracy, consistency, and fast turnaround for projects of any size. Looking for a trusted annotation partner for your drone and aerial imagery projects? Let's discuss your requirements today.

Happy Eid Mubarak!!!

On this joyous occasion of Eid, we extend our warmest wishes to our clients, partners, and communities around the world. May this special day bring peace, happiness, prosperity, and new opportunities to everyone.

Harbor Seals Annotation - Precision Data for Smarter AI

Training AI to understand marine wildlife requires more than just images - it needs accurate, high-quality annotation from a reliable team.

Wisepl deliver detailed Harbor Seals annotation services for AI models used in:

Marine wildlife monitoring

Environmental research

Coastal surveillance systems

Computer vision & detection models

Conservation and tracking solutions

From bounding boxes to segmentation and object tracking, our annotation experts ensure every seal is labeled with precision for real-world AI performance.

Fast turnaround

Scalable annotation teams

Quality-focused workflows

Custom project support

Looking for a trusted annotation partner for wildlife or computer vision projects? Let’s build accurate AI together.

Microscopy Image Labeling for Biomedical AI

Power advanced biomedical and life science AI systems with precisely annotated microscopy datasets. We provide high-accuracy labeling for cellular structures, tissues, and biomarkers to support research, diagnostics, and pharmaceutical innovation.

Cell, nucleus, and tissue structure annotation

Bounding box, polygon, and segmentation labeling

Biomarker and microscopic pattern identification

High-quality datasets for biomedical AI models

Secure and research-ready dataset preparation

Animal Skeleton Annotation Services For Machine Learning

From veterinary AI to wildlife research and medical imaging, accurate skeleton annotation plays a critical role in building powerful AI models. We provide high-quality animal skeleton annotation services with attention to detail, consistency, and fast delivery.

Whether it’s keypoint annotation, pose estimation, or biomechanical tracking - our experienced annotation team helps AI companies train smarter and more reliable models.

Clean annotations

Scalable workforce

Fast turnaround

Quality-focused review process

Looking for a trusted annotation partner for your AI project? Let’s build your dataset the right way with Wisepl.

Clinical Text De-identification for Healthcare AI

Protect patient privacy while building powerful healthcare AI. Wisepl provides high-quality clinical text de-identification datasets by removing personal identifiers from medical records while preserving valuable clinical information for AI training.

PHI removal from medical records and clinical notes

Annotation for names, addresses, IDs, and sensitive data

Supports HIPAA & GDPR compliance

Clean datasets for Healthcare NLP & AI model training

Secure and scalable medical text annotation workflows

Medical Imaging Annotation for AI Diagnostics

Train accurate healthcare AI with expertly annotated medical images. We provide high-precision labeling for radiology datasets to support diagnostics, research, and clinical AI systems.

Annotation for X-ray, CT, MRI, and ultrasound images

Bounding box, polygon, and segmentation labeling

Organ, tumor, lesion, and abnormality detection

Clinically accurate datasets for AI training

HIPAA/GDPR-compliant data workflows

Small Footer Line (optional)

High-quality medical datasets powering next-generation healthcare AI.

Data Labeling for Surgical Equipment Detection

In modern healthcare AI, accuracy isn’t optional - it’s critical. Surgical equipment detection models must recognize instruments clearly and consistently to support training, simulation, surgical analytics, and smart operating rooms.

Wisepl provide high-precision data annotation for surgical equipment detection, helping AI systems accurately identify tools such as scalpels, forceps, clamps, scissors, retractors, and more in surgical images and videos.

Our expert annotation teams ensure: :- Pixel-accurate bounding boxes, polygons, or segmentation :- Medical-grade quality checks :- Consistent labeling across large datasets :- Scalable production for healthcare AI projects

Whether you are building computer vision models for surgical automation, training simulations, or smart hospitals, Wisepl delivers the reliable annotated datasets your AI needs to perform with confidence.

Data Annotation for Crop Defect Detection

Modern agriculture is moving toward AI-powered crop monitoring, but every accurate model starts with high-quality training data. Wisepl provide precise agricultural data annotation to help AI systems identify crop defects such as leaf diseases, pest damage, nutrient deficiencies, and fruit abnormalities.

Our expert annotation team carefully labels leaves, fruits, stems, and plant defects using bounding boxes, segmentation, and classification, ensuring your models learn from clean, consistent, and reliable datasets.

Whether you are building precision agriculture tools, drone monitoring systems, or smart farming AI, we help you scale datasets quickly while maintaining high accuracy and cost efficiency.

What we support:

Crop disease annotation

Leaf defect detection datasets

Fruit damage identification

Pest & plant stress labeling

Bounding box, segmentation & classification

Why AI teams choose Wisepl:

Skilled human annotators

Scalable production workflows

Fast turnaround

Cost-effective pricing

Quality-controlled datasets

Ready to train your agricultural AI with high-quality data? Let’s discuss your dataset requirements today.

Data Annotation for Food Production AI

Food production is rapidly becoming smarter with AI - from quality inspection and defect detection to sorting, packaging, and supply chain automation. But great AI only works with accurate training data.

Wisepl help food-tech companies build powerful AI models with high-quality data annotation for food production environments.

Our expert annotators label food production datasets with precision for:

Fruit & vegetable defect detection

Food quality inspection datasets

Packaging & sorting automation

Contamination detection

Shelf-life monitoring AI models

Food processing machine vision datasets

We support bounding boxes, polygons, segmentation, and custom labeling workflows tailored for food manufacturing AI.

High accuracy

Fast turnaround

Scalable annotation teams

Cost-effective production pricing

If you are building AI for food safety, food inspection, or smart agriculture, Wisepl can prepare the high-quality datasets your models need to perform reliably.

Data Annotation for Vehicle Tracking & Detection

Autonomous systems, traffic monitoring, and smart mobility platforms rely on accurate vehicle tracking to perform in real-world environments. Wisepl provide high-precision vehicle tracking data annotation that helps AI models reliably detect, follow, and analyze vehicles across frames and complex scenarios.

Our experienced annotation teams label vehicles with consistent bounding boxes and frame-by-frame tracking, ensuring your AI models learn movement patterns, object persistence, and real-world behavior with high accuracy.

From traffic analysis and autonomous driving to smart city monitoring and fleet intelligence, Wisepl delivers scalable, quality-driven datasets that power reliable computer vision systems.

Frame-by-frame vehicle tracking

High-quality bounding box annotation

Multi-class vehicle labeling

Scalable teams for large datasets

Strict quality control process

Whether you are training AI for autonomous driving, traffic analytics, or surveillance systems, Wisepl ensures your data is precise, structured, and model-ready.

Looking for a reliable vehicle tracking annotation partner? Let’s build high-quality datasets for your AI project.

Data Annotation for Trash Detection

Clean environments start with intelligent technology. Wisepl help AI systems accurately detect and classify trash through high-quality image and video annotation. From plastic bottles and cans to paper waste and landfill objects, our expert annotators create precise bounding boxes, polygons, and segmentation labels that enable AI models to identify waste in real-world environments.

Whether it's smart city monitoring, recycling automation, environmental research, or robotics, our scalable annotation workflows ensure reliable datasets that improve detection accuracy and accelerate AI development.

Precise Bounding Box & Polygon Annotation

Scalable Teams for Large Datasets

Quality-Controlled Labeling

Fast Turnaround with Consistent Accuracy

If you're building AI solutions for waste detection, recycling automation, or environmental monitoring, Wisepl can deliver the data quality your models need.

Data Annotation for Trash Detection

Clean environments start with intelligent technology. Wisepl help AI systems accurately detect and classify trash through high-quality image and video annotation. From plastic bottles and cans to paper waste and landfill objects, our expert annotators create precise bounding boxes, polygons, and segmentation labels that enable AI models to identify waste in real-world environments.

Whether it's smart city monitoring, recycling automation, environmental research, or robotics, our scalable annotation workflows ensure reliable datasets that improve detection accuracy and accelerate AI development.

Precise Bounding Box & Polygon Annotation

Scalable Teams for Large Datasets

Quality-Controlled Labeling

Fast Turnaround with Consistent Accuracy

If you're building AI solutions for waste detection, recycling automation, or environmental monitoring, Wisepl can deliver the data quality your models need.

Eid Mubarak from Wisepl!!!

As the crescent moon lights up the sky, we celebrate a time of gratitude, compassion, and togetherness. Eid is not just a festival—it’s a reminder to share joy, spread kindness, and strengthen the bonds that connect us all.

We are grateful for the trust and support of our clients, partners, and team members across the globe. May this special occasion bring peace to your hearts, prosperity to your homes, and success in all your endeavors.

Let’s continue building a future driven by innovation, collaboration, and shared success.

Indoor Segmentation for Smarter AI Vision

Indoor segmentation plays a vital role in training computer vision models that understand complex indoor environments. Our expert annotators precisely segment objects such as furniture, appliances, walls, floors, and other indoor elements at the pixel level.

This detailed annotation helps AI systems accurately recognize and interpret indoor spaces for applications like robotics, AR/VR, smart homes, security systems, and autonomous navigation. With consistent quality checks and scalable teams, Wisepl ensures reliable datasets that accelerate your AI model development.

If your AI model needs high-precision indoor scene understanding, our team is ready to deliver scalable and cost-effective annotation solutions tailored to your project.

Cuboid Annotation Services for Autonomous Vehicle Datasets

Autonomous vehicles rely on precise spatial understanding of their surroundings. We provide high-accuracy Cuboid Annotation to help AI models detect and track objects in true 3D space.

Our skilled annotation team labels vehicles, pedestrians, cyclists, traffic objects, and more using tight cuboid boxes that capture depth, orientation, and position - making your LiDAR, sensor-fusion, and 3D vision models smarter and more reliable.

Whether you are training perception systems for self-driving cars, ADAS, robotics, or smart mobility, Wisepl delivers scalable annotation with strict quality control and fast turnaround.

High-precision 3D cuboid labeling

LiDAR & camera sensor-fusion support

Large-scale dataset handling

Multi-layer quality verification

Fast, reliable delivery

Let Wisepl handle the data labeling so your team can focus on building the future of autonomous mobility.

Building Roof Annotation for Satellite & Geo Maps

We transform raw satellite and geo-map imagery into highly accurate, pixel-perfect building roof annotations that power:

Urban planning & smart cities

Solar panel detection & energy analysis

Insurance risk assessment

Disaster impact mapping

GIS & geospatial AI models

Our expert annotators use precise polygon segmentation to capture every edge, curve, and complex rooftop structure - ensuring clean, structured datasets ready for AI training.

We understand that in geospatial AI, even a small boundary error can affect model performance. That’s why we focus on:

Tight, accurate polygons

Multi-class roof labeling

High-quality QA review

Scalable dedicated teams

Fast turnaround without compromising precision

Whether you're training models for satellite intelligence, climate analytics, or smart infrastructure - Wisepl delivers production-ready annotation datasets you can trust.

Ready to scale your satellite AI project with reliable annotation support? [email protected] | https://www.wisepl.com