Video Annotation
Reliable Video Annotation for Smarter AI
Need high-quality annotated video data to train or fine-tune your AI? We specialize in video annotation that helps models learn more effectively—whether it’s object tracking, activity recognition, or detailed frame-by-frame work.
If inconsistent or inaccurate labeling is slowing your progress, we can step in to improve precision and elevate your dataset’s value. Our team handles large-scale video annotation efficiently, with workflows designed to save you time while meeting complex project requirements.
From scene segmentation to custom annotation protocols, we tailor our services to your goals—and back everything with rigorous quality control to ensure accuracy you can trust.
What is Video Labeling?
Video labeling is the process of assigning tags or categories to entire video clips or specific scenes. For example, labeling a clip as “sports”, “traffic”, or “surveillance footage”. This helps AI models understand the context or content of the video as a whole.
What is Video Annotation?
Video annotation involves marking and tracking specific objects or events across frames. This can include:
Bounding boxes that follow objects over time (object tracking)
Event tagging (e.g., “car turns left”, “person waves”)
Action recognition (e.g., “running”, “jumping”)
Both are essential for training AI in applications like self-driving cars, video surveillance, sports analytics, and behavior analysis.
Learn Video Annotation!
Video Labeling Essentials
DeeLab Academy combines theoretical knowledge with hands-on exercises and examples, equipping participants to confidently apply their skills in professional settings.
Shall We Have a Call?
The best way to embark on your annotation journey is by scheduling a free Discovery Call with us. In this brief 30-minute session, our experts will understand your project requirements, discuss your goals, and provide tailored guidance on the next steps.
Book your call today
And explore the possibilities of working together! It’s the first step towards unlocking the full potential of your data.
Articles
AI Content Moderation
The internet moves too fast for human-only moderation — and AI systems trained on human-labeled data now play a key role in detecting harmful content. But even with the best annotations, AI can miss context, nuance, and intent.
The Silent Power Behind Smarter Retail Technology
In retail, artificial intelligence is changing how retail stores operate. From keeping shelves stocked to improving customer experiences, smart technology is making shopping more efficient. But behind these innovations is one key factor—data annotation. Without properly labeled data, even the best AI systems wouldn’t function correctly.
Inside Sports Intelligence with Video Labeling
Sports are more than just games; they’re a blend of strategy, skill, and data. The integration of technology in sports has transformed performance analysis, with video labeling being a key player. It allows teams to analyze game footage, uncovering insights that might go unnoticed, and changing the game for teams and athletes.
Building Better AI Security Systems with Precisely Labeled Datasets
Security is essential in both large and frequent spaces. AI security systems with object recognition strengthens protection by identifying potential threats, but its effectiveness depends on well-crafted training datasets that ensure accurate AI decisions.
Video Labeling: Seeing Beyond Pixels
From YouTube suggesting the next video to watch, to surveillance systems identifying suspicious activities, visual intelligence shapes the way machines interact with the world. Video labeling equips AI with the eyes to see, understand, and respond to this visual landscape.
