Data as of Oct 18, 2026Based on 979 AI responses
Reviewed by Dimitry Apollonsky
Rank and Mentioned in · since Jul 5
| # | Brand | Recommended for | Mentioned in |
|---|---|---|---|
| 1 | enterprise workforce management and hybrid automated labeling pipelines | enterprise workforce management and hybrid automated labeling pipelines | 62% |
| 2 | open-source video tracking and self-hosted computer vision annotation | open-source video tracking and self-hosted computer vision annotation | 52% |
| 3 | managing annotator teams on complex multimodal AI datasets | managing annotator teams on complex multimodal AI datasets | 47% |
| 4 | multimodal text and natural language processing annotation tasks | multimodal text and natural language processing annotation tasks | 42% |
| 5 | commercial video annotation paired with active learning engines | commercial video annotation paired with active learning engines | 40% |
| 6 | high-throughput managed labeling services for large-scale datasets | high-throughput managed labeling services for large-scale datasets | 32% |
| 7 | developer-friendly automated labeling and rapid computer vision workflows | developer-friendly automated labeling and rapid computer vision workflows | 24% |
| 8 | managed services utilizing dedicated, non-crowdsourced labeling workforces | managed services utilizing dedicated, non-crowdsourced labeling workforces | 20% |
| 9 | point cloud annotation and modular vision application workflows | point cloud annotation and modular vision application workflows | 17% |
| 10 | automated video interpolation and commercial image segmentation projects | automated video interpolation and commercial image segmentation projects | 12% |
| 11 | 10% | ||
| 12 | 9% | ||
| 13 | 7% | ||
| 14 | 7% | ||
| 15 | 6% |
What’s changing · since July
Since July, Labelbox became the most named answer for accelerating human review workflows, while CogitoTechrising became the most named provider for medical imaging projects requiring radiologists. Encord joined the most named options for active learning loops, whereas Mathworksfalling dropped out of point cloud recommendations.
Since Jul 5
Widest split: Encord, 61% on ChatGPT Search and 20% on Google AI Mode.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| Labelbox | 62% | 62% | |
| CVAT | 53% | 51% | |
| SuperAnnotate | 42% | 52% | |
| Label Studio | 43% | 42% | |
| Encord | 61% | 20% | |
| Scale | 33% | 32% | |
| Roboflow | 20% | 29% | |
| iMerit | 16% | 23% | |
| Supervisely | 20% | 14% | |
| V7 Darwin | 12% | 12% |
44% of citations point at the ranked brands’ own sites. youtube.com, reddit.com, imerit.ai are the most-cited sites outside the ranked brands’ own domains.
Market map
Mentioned in · since Jul 5
Leading brands by topic
Our labeling process is too slow. What is the best data labeling platform for an ML Engineer managing a team of annotators?
Which data labeling services employ certified radiologists for medical imaging annotation?
I am looking for a data labeling service that uses paid employees and does not use crowdsourced labor.
I'm looking to outsource my entire data labeling project. What is the best managed data labeling service for a startup?
The problem is, our video annotation process is slow. What's the best video annotation tool that supports collaborative, real-time labeling?
We have tons of images to label for a CV model. Any recs for a solid, affordable data labeling platform?
I need a platform for labeling text data for a NLP project. What are the best annotation tools?
We are building a dataset for self-driving cars. Who offers image segmentation annotation services?
I want to train a model on 3D point cloud data. What is the best LiDAR or 3D point cloud annotation tool?
We need to manage the lifecycle of our data from labeling to training. What is the best data-centric MLOps platform?
I need to label a million images for a computer vision project. What's the best data annotation platform that uses a combination of AI and human labelers for speed?
What are some data annotation tools that handle bounding boxes, segmentation, object tracking, and movement recognition for training computer vision models?
I have a massive collection of images that need segmentation masks. Can you recommend an annotation platform that uses AI to speed up the labeling process?
We are struggling to coordinate our distributed team of labelers. Can you recommend a data labeling platform that includes tools for managing the workforce directly?
Can you recommend a platform for labeling video data that also features active learning capabilities?
What are the top-rated platforms for labeling video data when the primary goals are action recognition and object tracking?
Which video labeling tools are best suited for projects involving action recognition and object tracking?
I am preparing to scale our computer vision model. Who offers active learning loops to improve accuracy?