KR
EN
JP
AUTOFIT
An Auto-Labeling Platform that Generates Labels Just by Adding Data
Just add data, we label the rest
Scale labeling, not manpower
Fast and automated labeling
of massive datasets
Less cost, more labels
Reducing time and labor costs
compared to manual labeling
Consistent labels, reliable AI
Maintaining high labeling accuracy
and consistency
Human in the loop, AI at the wheel
Semi-automated workflow
with human inspection and correction
The more you use it, the smarter it gets
Models improve as data accumulates,
gradually enhancing label quality
Plug into your pipeline, label anywhere
Easy integration and expansion with existing
labeling tools or AI pipelines
Automatically Converts Raw Image & Video Data
into Training Datasets for AI
AUTOFIT
AUTOFIT is an industry-specific tool that simultaneously boosts labeling speed and quality through AI-based auto-labeling for images and videos, key frame extraction, de-duplication, and support for bounding box and polygon types.
Beyond auto-labeling, it provides an integrated end-to-end labeling process from pre-processing to format conversion, offering superior efficiency and scalability in deployment and operation compared to generic tools.
-
Provides AI-based automated labeling for images and videos
-
Reduces overall labeling time by automating repetitive tasks
-
Decreases human error by minimizing manual intervention
-
Improves labeling quality and consistency through automation
-
Cuts labeling costs through labor and time savings
-
Efficient data usage by extracting only essential key frames from videos
-
Minimizes unnecessary labeling work via duplicate frame removal
-
Optimized for general detection tasks with Bounding Box labeling support
-
Handles complex object shapes with Polygon type labeling support
-
Provides a labeling environment for integrated management and processing of image/video data
Convenient image data labeling is possible
with AUTOFIT.
