SentiSight.ai
sentisight.ai
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, boxes, polygons, points, polylines, and bitmaps. Smart labeling uses selected foreground and background points to extract an object from an image. Shared projects allow multiple users to label images, while project managers can track progress and time and manage roles and permissions. Image search can find images resembling an uploaded query or similar pairs within a dataset. Pre-trained models cover content moderation, goods classification, automatic hashtags, and people counting. Models can run in the web interface or through a REST API, or offline after downloading a model and setting up a local REST API server. Android and iOS apps make predictions from uploaded images or camera photos, but cannot train models or label images already uploaded. The service has a free plan and a 30-day trial. The Pay-as-you-go plan includes €5 monthly complimentary credits and €20 free credits for new users; listed usage rates include €1 / 1000 predictions, €1 / 1000 labels, and €3.6 / hour of training.
Spec sheet
- Purpose
- SentiSight.ai is a web-based platform for image labeling and developing AI-based image recognition applications.Read 30 Sep 2026 · sentisight.ai
- 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.Read 30 Sep 2026 · sentisight.ai
- Mobile apps
- The mobile app is available for Android and iOS and supports predictions using uploaded images or photos taken with the device camera.Read 30 Sep 2026 · sentisight.ai
- Privacy
- The privacy policy says personal-data safeguards are handled in accordance with GDPR and other applicable data protection laws.Read 30 Sep 2026 · sentisight.ai
- Support
- The site provides a FAQ, user guides, video tutorials, and a contact page for assistance.Read 30 Sep 2026 · sentisight.ai
- Headquarters
- Vilnius, LithuaniaRead 23 Sep 2026 · sentisight.ai
- Founded
- 1990Read 23 Sep 2026 · sentisight.ai
- Annotation
- Its labeling tool supports classification labels, bounding boxes, polygons, points, polylines, and bitmaps.Read 30 Sep 2026 · sentisight.ai
- Collaboration
- Shared projects let multiple users label images, while project managers can track progress and time and manage roles and permissions.Read 30 Sep 2026 · sentisight.ai
- 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.Read 30 Sep 2026 · sentisight.ai
- 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.Read 30 Sep 2026 · sentisight.ai
- Mobile limitations
- The app cannot train new models or label already uploaded images, and it supports classification labels but not object labels.Read 30 Sep 2026 · sentisight.ai
- Model types
- The platform supports classification, object detection, and segmentation models.Read 30 Sep 2026 · sentisight.ai
- Pre-trained models
- Pre-trained models are available for tasks including content moderation, goods classification, automatic hashtags, and people counting.Read 30 Sep 2026 · sentisight.ai
- 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.Read 30 Sep 2026 · sentisight.ai
- Smart labeling
- The smart labeling tool uses selected foreground and background points to let AI extract a labeled object from an image.Read 30 Sep 2026 · sentisight.ai
Plans and prices
Strong points and limits
Strong points
- Supports classification, detection, and segmentation
- Shared projects include role and progress management
- Offers web, REST API, and offline model deployment
- Free plan and 30-day trial
Limits
- Mobile apps cannot train new models
- Mobile apps cannot label already uploaded images
- Pay-as-you-go rates vary by task
Who it suits
It suits teams labeling research or product images, and users building image-recognition applications for uses such as quality control or visual search. The mobile apps are for predictions, not model training or labeling existing uploads.
Verdict
SentiSight.ai combines image annotation, model development, and several deployment paths. Its mobile apps have narrower capabilities than the web platform, and users should account for task-based rates when free credits are exhausted.
Where Specifiction places it
- AI Image Recognition Software#20 of 377.7