Sick DStudio Token for Classification Model, Engineering Tools, Deep Learning, SKU: 1614849
Technische Daten
- Gewicht
- 1 kg
Produktbeschreibung
- Description: A dStudio token can be used to unlock a single deep learning model trained with dStudio for commercial use. We recommend testing the model created with dStudio first with the free, timelimited version, as each token can only be used once.
- Supported products: InspectorP series SIM2x00 Inspector83x Inspector85x SICK AppEngine
- Task: Monitoring and controlling Quality Monitoring and controlling Condition Identifying Classifying Identifying Sorting
- Technology: Preparation and management of training images. Efficient annotation of images. Training of artificial neural networks. Processing and analysis of images based on artificial neural networks to solve complex automation tasks.
- Task: Train neural networks to classify images and to recognize and localize objects. Annotate and manage the necessary training images.
- Provision: Training of neural networks is free for evaluation purposes. To be able to use a trained neural network productively, a token can be purchased from your SICK sales partner.
- Supported image formats: bmp jpg jpeg png SICK AppSpace 3D images (json)
- Language: English
- Input data: Images that are annotated in dStudio. The images can also be provided with additional metadata, which makes it possible, for example, to use only the relevant part of a larger data domain for training.
- Output data: Trained neuronal network which can be used on SICK devices to make a decision.
- Neural networks that support the AI accelerator available in some SICK devices.
- Documentation: Operating instructions
- Supported browsers: Google Chrome (version 80or higher)
- Provision: Training of neural networks is free for evaluation purposes. To be able to use a trained neural network productively, a token can be purchased from your SICK sales partner.
Produktangebot
947,84 €
1.127,93 € inkl. MwSt. zzgl. Versandkosten
Lieferzeit ca. 5 Tage
Sichere Zahlung
Rechnung
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Kennzeichnungen
- Artikeltyp
- Active Components/Sensors/Sensor Accessories