Label Your Data
Pay-per-object data annotation services for Computer Vision, NLP, LLM
If you're struggling with dataset annotation, you're in the right place.
We help projects with data scientists and operation managers streamline the dataset labeling flow.
Common challenges:
- Data scientists need their ML model to perform with top accuracy and public datasets don't help
- Operation managers must figure out how to streamline the dataset annotation process
- Executives need to deploy the model before the deadline, annotation slows it down
- Product managers need model retraining for each new client while handling sensitive data
- Academic researchers don't spend enough time on the research because of the labeling efforts
Our services:
- Computer Vision Annotation
- Natural Language Processing Annotation
- Quality Assurance
- Model Validation
You can get these Computer Vision object annotations:
- Images
- Videos
- 2D/3D bounding boxes
- Pixel segmentation
- Lidar / Radar
Receive these NLP object annotations:
- Sentiment tagging
- Linguistic tagging
- Named entity recognition
- Audio-to-text
Quality Assurance
When your custom datasets need quality check flow. It is also useful when your current labeling setup is not as efficient. We begin by establishing quality benchmarks and then automate the flow. The result is a pixel-perfect dataset.
Model Validation
When your object recognition produces poor results. We can help out by identifying the edge cases from the dataset. Then, we relabel those objects and check the accuracy improvement with your data scientists.
How It Works:
1. Run a free test project to check if we’re a good fit
2. Get final cost calculations according to the test run
3. Have us sign the NDA and other documents
4. Start receiving the labeled datasets
5. Get happy with the faster deployment and a better accuracy rate
> Let's annotate your first objects for free
Service Focus
Industry Focus
- Advertising & Marketing - 20%
- Business Services - 20%
- Financial & Payments - 20%
- Healthcare & Medical - 20%
- Information Technology - 20%