"Label image data frame by frame and provide it in many forms."
"Semantic segmentation gives classes to all pixels of image, image data."
"Image, label objects in image data with bounding box."
"Delicate and accurate labeling of irregular boundaries of objects in image, image data."
"Label linear image data, such as lanes, accurately up to pixels."
"Specify key feature points for objects to track and recognize objects."
"Identify types with Named Entity Recognition by natural language comprehension. "
"Analyze and categorizes emotions, intentions, etc. of natural language."
"Collect topic and contextual natural language text from various users."
"Analyze the type and context of text and categorize it accurately"
"Reads text in images accurately and efficiently."
We are provided with raw datasets
and a work guideline. Raw datasets
can be via API, .CSV, FTP, Cloud services, JPG, etc.
We prepare our project and workers
according to the guideline. This is a
pilot phase to get our workers ready.
With the help of AI preprocessing,
our workers label the data.
All annotations are double-checked by our
inspectors with strict standards to
produce high accuracy datasets.
We deliver our labeled data to our clients via API, etc.
"Extract web data and deliver classified datasets in the form of APIs, CSVs, etc."
"Perfect data processing and analysis utilization by consistently refining random data."
"Build a database that can manage data securely and efficiently."
"Visually represent data so that information can be effectively viewed at a glance."
"Customize the services and capabilities required for referral projects to deliver custom deliverables."
Garbage in, Garbage out!
With our AI inspection engine and
inspection system, we offer datasets with high accuracy.
동일한 라벨링 예산이라면,
저희 데이터메이커가 가장 많은 양의
통제된 데이터 랩에서 제공된 디바이스로만
데이터에 접근할 수 있습니다.