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Video Annotation
Labeled video data is important for AI-powered applications. Let our in-house teams make sure that it purrr-fact for your algorithm needs.
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Generated by 10000+ Community Members
Bounding Box Annotation
3D Cuboid Annotation
Polygon Annotation
Image Segmentation
Skeleton Pose
Landmark Annotation
Polyline Annotation
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Polyline Annotation
Bounding Box Annotation
3D Cuboid Annotation
Polygon Annotation
Image Segmentation
Skeleton Pose
Landmark Annotation
Polyline Annotation
Bounding Box Annotation
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We Ensure Quality Human-
Annotations
Create Structured
Video Dataset
To meet specified industry standards and procedure, FutureBeeAI generates a variety of video annotations from the raw video frames in the most exact and precise methods.
Annotation Tools &
Workforce
Our workforce of annotators includes individuals across all cultures and industries. We can deliver over 97-99% accurate labels because of our supervision and years of experience.
QA Review & Data
Security
Our QA and review process involves manual investigation of annotated video frames in various stages. Data security in the system is maintained by our efficient process.
Develop for Varied Use Cases
Access control
AI-based facial recognition technology can help identify the owner of the vehicle. AI-enabled automotive can help get custom settings in vehicles based on the user experience.
Lane detection
AI-enabled automotive can identify and track the lane and reduce the burden on drivers to keep the eye on the road on a long journey!
Path hole detection
Path hole detection can warn the driver while approaching the hump or the path hole and reduce the chances of accidents.
Insurance
Computer vision-based visual inspection models can assist in claiming insurance in no time with the utmost accuracy.
Autonomous Vehicle
AI-enabled autonomous vehicles can not only drive from place A to B without any manual assistance from the driver but can do self-parking and lane tracking.
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Usecase?
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Crop & Soil monitoring
We can use UAVs aka drones to capture the soil and crop and build an AI model that can detect the quality and quantity along with crop and soil health.
Maturity Monitoring
AI can do high labour-intensive tasks like crop maturity monitoring as well as using high-level computer vision models which can classify the crop based on various criteria.
Plant disease detection
A computer vision-based AI model which is pre-trained for identifying various plant diseases can help farmers in the identification and prevention of various plant diseases from an early stage.
Livestock monitoring
AI-enabled computer vision models can keep eye on livestock. It can count and track the behaviour of livestock to identify their health.
Customise Spraying
CV model can not only detect the disease but can also help in prevention by identifying target areas and spraying fertilizers using UAVs.
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Usecase?
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Medical Image Analysis
AI can analyse various medical imagery like ultrasound, MRI, and X-rays and detect various diseases from the graphical information and can assist doctors.
Robotic Surgery
Surgical robots can aid with surgery with sub-millimetre precision by identifying the repeated activities inside the surgical operation.
Medical Imaging Insights
NLP & OCR-based AI applications can retrieve relevant information from medicine images and medical documents. The text can also be translated into the user's native language.
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Usecase?
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Face Recognition
Artificial intelligence-enabled video analytics can assist in detecting any illegal behaviour or threat in a fraction of a second, making it a proactive security solution.
Traffic & Road Safety
AI-enabled video analytics can aid in traffic management and improve road safety by detecting: no-helmet and triple riding detection, wrong-way driving, and over-speeding detection.
Smart Object Tracing
Using computer vision techniques, each item in a frame can be identified and segmented and then matched against a list of predefined categories to aid in safety.
Video Forensics
AI can assist in the post-incident investigation, machine learning algorithms can be employed for colour conversion, regeneration, and comparison between two video backdrops.
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Usecase?
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Virtual Tours
The AI-powered computer vision, NLP, technology enables 3D views of properties without stepping foot in the property area. It can assist with zoom-in, spoken notes, and panorama view functions.
Visual Inspection & Damage Detection
Using a video analytic tool, property conditions can be analyzed and solutions for maintenance can be predicted. It can prevent a lot of labour, time, and expense.
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Usecase?
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HITL of FutureBeeAI
Our diverse Human In The Loop community drives better control over quality standards and more than 99% of accurate and precise annotation within a definite time span. Explore more about our multilingual annotator community 👇
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Useful Resources
Guides
Video Data Annotation Guide
Coming soon
Case Study
Creating annotations for supervised PPE detection model
Coming soon
Explore More Annotation Solutions
Get in the New Loop
Get the dataset from the store > Annotate it with help from our community OR Get ready-to-deploy structured data (with annotations) directly from our store.
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