Training machines to interpret and understand the visual world requires a high volume of accurately labeled training data.
Sure, you could toss your labeling project to an unknown crowd, an inflexible outsourcer, or a faceless platform API. But your project and training data needs are unique. We can help.
From bounding boxes and object tracking to semantic segmentation and key point annotation, I'm a skilled data analyst. I apply best practices developed from annotating millions of images and videos to deliver best-in-class data labeling for computer vision leaders around the world. I can customize the data to your user-friendly formats.
Tools:
- CVAT
- LABELME
- LABELING
- LABELIMG
- LABELBOX
- ROBOFLOW
- LABEL STUDIO
Data:
- Images
- Videos, etc
- Annotation type
- Image Captioning
- Inventory Tracking
- Image Classification
- Dots with Key Point Labeling
- Semantic Segmentation with Masks
- Semantic Segmentation with Polygons
- Bounding Boxes
Data output formats:
XML, YOLO, JSON, COCO, CSV, SEGMENTATION MASKS, TSV
I DO NOT: Train models
I DO NOT: Create applications
I WILL provide you with accurately annotated data to create and train the models.