Enhance Your Image and Video Applications

Build high-performing image and video recognition models that understand, detect, track and act on image and video data.  From security to retail applications, our high qualify training data ensures the optimal image system performance.

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Image Collection

Collect images of any category and format from various data sources.

Image Bounding Boxes

Identify and label images with basic bounding boxes.

Image Classification

Classify images based on single or multi-level categories.

Image Validation

Validate the quality of any image based on specified criteria.

Computer Vision Quality Guarantee

Computer vision models encounter a multitude of image variations, which is why large quantities of quality training data are required, especially in safety and security applications, where accuracy is crucial. Our computer vision datasets utilize a variety of ML algorithms combined with human-in-the loop validations to guarantee quality.

Image Matching

Image datasets are guaranteed to have >95% data matching.

Image Accuracy

Image datasets are guaranteed >90% accuracy based on inter-annotator agreement scores.

Success Stories

Mastercard’s R&D Labs needed unique, multi-lingual text data that covered 20 designated payment scenarios in English and Spanish, and they needed it fast.

Keeping a nation’s lights on means constantly inspecting electricity poles for damage. EDP partnered with DefinedCrowd to improve Asset Performance Management processes.

With the rise of voice technology, this leading global provider of audio equipment wanted to develop an automatic speech recognition (ASR) model.

A global electronics maker came to DefinedCrowd with the goal of building more inclusive facial recognition models, requiring accurately annotated images with highly specific criteria.

Smart companies see the pile of unstructured text floating through the digital realm as a strategic goldmine of consumer insights.

A Fortune 500 Tech company needed comprehensive speech training data in French that accounted for a wide range of dialects, requiring diverse data in terms of age, gender and regional dialects.

A visionary Fortune 500 Tech company leveraged sentiment analysis models to dig beyond surface-level understandings to extract granular-level insights.