First-Rate Video Data Collection to Train AI Models 

Feed insights procured via efficient video data collection services to empower intelligent models into taking proactive actions

Video data collection

Ready to find the video data you’ve been missing?

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Why Video Training Dataset is needed for Computer Vision?

Developing smart applications, backed by Computer Vision, NLP, and Deep Learning technologies can be tricky. While textual, acoustic, and graphic datasets have their role to play, training models for proactively identifying video-specific elements require stringent monitoring and the availability of top-rated insights.

Nothing against Image data collection but video datasets lend an additional sense of continuity to the machine learning models, making them way more perceptive and accurate in time. This is why companies planning to develop advanced computer vision tools and resources need to consider outsourcing video data collection to professional providers.

Coming to the importance of video data collection, here are the resources that can be accessed with relevant video datasets in play:

  • Video dataset for object detection, to help with self-driving accuracy
  • Video dataset for deep learning with a focus on evolving complexity
  • Hierarchical datasets for managing progressive needs for abstraction, in the case of complex models
  • The ability of models to predict movement and traffic patterns

Professional AI video training datasets 

Any subject. Any scenario.

Finding the right video dataset, according to the use case, is easier said than done. Shaip, as a video data collection service provider, is privy to every form of AI implementation and lets you in on the most relevant datasets for the task at hand. At Shaip, you can be sure to feed your models with custom video datasets, as per scenario, setup, project management needs, and annotation-specific preferences.

Still unsure! Here are some of the other reasons to connect with Shaip:

Video dataset
  • Scalable collection services to develop self-learning models
  • Data powered by top-notch human intelligence
  • The ability of the video datasets to work closely with image, audio, and textual insights
  • Support for holistic image and video annotation for training AI models to be more accurate
  • Availability of structured and unstructured data to target standard AI models and deep learning preferences, respectively

Our Expertise

Video Datasets for Relevant Use Cases

At Shaip, we help you capture each object in a video frame-by-frame, we then take the object in motion, label it, and make it recognizable by machines. Collecting quality video datasets to train your ML models has always been a stringent and time-consuming process, diversity and the massive quantities required add’s to further complexity. We at Shaip offer you the required expertise, knowledge, resources, & scale needed when it comes to video training datasets. Our videos are of the highest quality that is tailored specifically to meet your specific use case. Pick the video data collection service that aligns with your program and gets the ball rolling, right away. Various types of Video Datasets that we offer:

Human posture video

Human Posture Video Dataset Collection

Explore the nitty-gritties of organic human movements from a wide range of scenarios like standing, walking, sitting, running, and more, in disparate lighting conditions.

Drones & aerial video

Drones & Aerial Video Dataset Collection

Train aerial entities and drones to take better combative and recreational calls with video data captured in traffic, parties, stadium gathering, and other scenarios.

Traffic video dataset

Traffic Video Dataset Collection

Enlighten self-driving vehicles by feeding in segmented and spatial traffic video datasets, to identify real-time traffic movements and learn progressively by observing

Demographic dataset

Demographic-Specific Dataset Collection

Now cut the AI bias from relevant programs by adding to the existing video data repository. Shaip allows you to train models in an all-inclusive manner by setting aside videos segmented as per demographics, ethnicity, color, gestures, and other parameters.

Cctv surveillance

CCTV/Surveillance Video Dataset

We collect sensitive video datasets from law enforcement records, crime scenes, and person and posture recognition datasets in diverse lighting conditions to train intelligent surveillance setups to identify intruders, set alarms, and even mark attendance.

Transcript datasets

Transcript-Ready
Datasets

Train applications to create video transcripts automatically by feeding in large volumes of relevant video, text, image, and audio datasets

People video collection

People Video Collection

High-resolution videos featuring individuals from diverse backgrounds and in various activities helps to train AI models in facial recognition, behavior analysis, and human interaction understanding.

Object video collection

Object Video Collection

Capture objects in motion across different environments and lighting conditions which is crucial for developing AI models focused on object tracking, detection, and classification in dynamic settings.

Damaged car video collection

Damaged Car Collection

Detailed videos of vehicles with various types of damage. This dataset supports the training of AI models for automotive damage assessment, insurance claim processing, and accident analysis.

Video Datasets

Barcode Scanning Video Dataset

5k videos of barcodes with a duration of 30-40 sec from multiple geographies

Barcode scanning video dataset

  • Use Case: Barcode Recog. Model
  • Format: Videos
  • Volume: 5000+
  • Annotation: No

Biometric Dataset

22k facial video from multiple countries with multiple poses

Biometric dataset

  • Use Case: Facial Recognition
  • Format: Videos
  • Volume: 22,000+
  • Annotation: No

Drone-based Video Dataset

84.5k drone videos of areas like College/School campus, Factory site, Playground, Street, Vegetable Market with GPS details.

Drone-based video dataset

  • Use Case: Pedestrian Tracking
  • Format: Videos
  • Volume: 84,500+
  • Annotation: Yes

Damaged Vehicles (Minor) Video Dataset

5.5k videos of cars with minor damages from India and North America regions

Damaged vehicles (minor) video dataset

  • Use Case: Damage Detection
  • Format: Videos
  • Volume: 5500+
  • Annotation: No

Reasons to choose Shaip as your Trustworthy Video Training Data Partner

People

People

Dedicated and trained teams:

  • 30,000+ collaborators for Data Creation, Labeling & QA
  • Credentialed Project Management Team
  • Experienced Product Development Team
  • Talent Pool Sourcing & Onboarding Team
Process

Process

Highest process efficiency is assured with:

  • Robust 6 Sigma Stage-Gate Process
  • A dedicated team of 6 Sigma black belts – Key process owners & Quality compliance
  • Continuous Improvement & Feedback Loop
Platform

Platform

The patented platform offers benefits:

  • Web-based end-to-end platform
  • Impeccable Quality
  • Faster TAT
  • Seamless Delivery

Services Offered

Expert text data collection isn’t all-hands-on-deck for comprehensive AI setups. At Shaip, you can even consider the following services to make models way more widespread than usual:

Speech data collection

Audio Data Collection Services

We make it easier for you to feed the models with voice data to help them explore the perks of Natural Language Processing in a more balanced way

Text data collection

Text Data Collection
Services

The true value of Shaip cognitive data collection services is that it gives organizations the key to unlock critical information found within unstructured data

Image data collection

Image Data Collection Services

Make sure that your computer vision model identifies every image accurately, to seamlessly train next-gen AI models of the future

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Want to build your own Video dataset?

Contact us now to learn how we can collect a custom data set for your unique AI solution.

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Video data collection involves gathering sequences of moving images. It’s vital for machine learning as it captures dynamic interactions, making models more adept at understanding and analyzing temporal sequences.

Video data can enhance security via surveillance, offer insights into customer behaviors, improve training through motion analysis, and drive innovations like autonomous driving.

Use cameras, drones, or wearable devices to record sequences, ensuring the footage aligns with the project’s requirements. Afterward, segment, label, and preprocess as needed.

Ensure videos are clear and high-resolution, maintain consistent lighting, gather diverse data sources, annotate accurately, respect privacy regulations, and regularly validate your dataset for accuracy.