IBM Task Mining records 0 monthly visits with — month-over-month growth and Contact for Pricing pricing. Ultralytics records 793,423 monthly visits with +8.7% growth and Freemium pricing.
Browser extension that captures on-screen activity for IBM's task mining and process discovery.
Real-time vision AI models and a full platform to train, annotate, and deploy them
| Dimension / Metric | | |
|---|---|---|
| Official Domain | chromewebstore.google.com | ultralytics.com |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 0 (0) | 793.42K (793,423) |
| MoM Traffic Delta | 0 (—) | +63.49K (+8.7%) |
| Primary Market & Share | 🌐 Global (—) | 🇨🇳 China (15.2%) |
| Direct Visits / mo | 0 | 239.75K |
| User Rating | 3.6 | 4.6 |
| Supported Platforms | Browser Extension | Website |
Browser extension that captures on-screen activity for IBM's task mining and process discovery.
Records front-end user interactions in the browser so web-based steps become part of the mined process, not a blind spot.
The add-on does not collect or send information unless the IBM Task Mining Client (agent) is running, keeping capture tied to an approved deployment.
Published by IBM ITALIA S.P.A., matching the developer identity and privacy commitments of the wider IBM process mining suite.
Feeds granular interaction events into IBM's process discovery so teams can see how work is really performed, not just how it is described.
Real-time vision AI models and a full platform to train, annotate, and deploy them
One model family covering detection, instance segmentation, pose estimation, oriented boxes, classification, and tracking, tuned for real-time inference on GPU, CPU, and edge devices.
Label data with SAM-assisted annotation, train on cloud GPUs with AutoTrain, and deploy to managed regions that scale to zero when idle.
Ship trained models to ONNX, TensorRT, CoreML, TFLite, and many other formats for cloud servers, mobile devices, and embedded hardware.
Adopt the open-source AGPL-3.0 release, or purchase an enterprise license to embed YOLO in closed-source products without copyleft obligations.
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