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SentiSight.ai
Vilnius, Lithuania
What it is
SentiSight.ai is a web-based platform for labeling images and developing image-recognition applications. It supports classification, object detection, and segmentation models, with annotation tools for labels, bounding boxes, polygons, points, polylines, and bitmaps. Smart labeling uses selected foreground and background points to identify an object in an image. Shared projects allow multiple users to label images, while managers can track progress and time and manage roles and permissions. Image search can find pictures similar to an uploaded query or similar pairs within a dataset. Available pre-trained models include options for content moderation, goods classification, automatic hashtags, and people counting. Models can run through the web interface or REST API, or offline after downloading a model and setting up a local REST API server. Android and iOS apps support predictions from uploaded images or camera photos, but cannot train new models or label images already uploaded. The service offers a free plan and a 30-day trial. Listed pay-as-you-go rates include €1 per 1000 predictions, €1 per 1000 labels, and €3.6 per hour of training.
For and against
For
- Supports classification, detection, and segmentation models.
- Shared projects support multi-user image labeling.
- Pre-trained models cover several image-analysis tasks.
- Models can run online or offline.
- Mobile apps make predictions from images or camera photos.
Against
- Mobile apps cannot train new models.
- Mobile apps cannot label already uploaded images.
- Mobile labeling supports classification labels, not object labels.
The verdict
SentiSight.ai offers image annotation, model development, similarity search, and online or offline deployment. Note that the mobile apps have narrower capabilities than the web platform.
Who it suits
SentiSight.ai suits people labeling image datasets or building image-recognition applications for uses such as product tagging, quality control, visual search, and research. Its mobile apps are for making predictions rather than training models or labeling existing uploads.
Plans and prices
Offline model license
Offline model download · 30-day free trial
Read 30 Sep 2026 · sentisight.ai
Pay-as-you-go
5000 predictions or 5000 labels or 83 minutes of training within free credits · prediction €1 / 1000 predictions · image labeling €1 / 1000 labels · training €3.6 / hour
Read 30 Sep 2026 · sentisight.ai
On the record
- Annotation
- Its labeling tool supports classification labels, bounding boxes, polygons, points, polylines, and bitmaps.sentisight.ai · read 30 Sep 2026
- Collaboration
- Shared projects let multiple users label images, while project managers can track progress and time and manage roles and permissions.sentisight.ai · read 30 Sep 2026
- Data processing
- The data transfer agreement identifies Neurotechnology UAB as a GDPR data processor and says it will process personal data on the user's instructions and bind authorized personnel to confidentiality.sentisight.ai · read 30 Sep 2026
- Deployment
- Models can run online through the web interface or REST API, or offline after downloading a model and setting up a local REST API server.sentisight.ai · read 30 Sep 2026
- Intended use
- The maker describes use cases including retail product tagging, manufacturing quality control and defect detection, e-commerce visual search, and research dataset labeling.sentisight.ai · read 30 Sep 2026
- Mobile apps
- The mobile app is available for Android and iOS and supports predictions using uploaded images or photos taken with the device camera.sentisight.ai · read 30 Sep 2026
- Mobile limitations
- The app cannot train new models or label already uploaded images, and it supports classification labels but not object labels.sentisight.ai · read 30 Sep 2026
- Model types
- The platform supports classification, object detection, and segmentation models.sentisight.ai · read 30 Sep 2026
- Pre-trained models
- Pre-trained models are available for tasks including content moderation, goods classification, automatic hashtags, and people counting.sentisight.ai · read 30 Sep 2026
- Privacy
- The privacy policy says personal-data safeguards are handled in accordance with GDPR and other applicable data protection laws.sentisight.ai · read 30 Sep 2026
- Purpose
- SentiSight.ai is a web-based platform for image labeling and developing AI-based image recognition applications.sentisight.ai · read 30 Sep 2026
- Similarity search
- Users can search for images similar to an uploaded query image and run NvN searches to retrieve similar image pairs in a dataset.sentisight.ai · read 30 Sep 2026
- Smart labeling
- The smart labeling tool uses selected foreground and background points to let AI extract a labeled object from an image.sentisight.ai · read 30 Sep 2026
- Support
- The site provides a FAQ, user guides, video tutorials, and a contact page for assistance.sentisight.ai · read 30 Sep 2026