Encord is a free data labeling tool dedicated to annotating computer vision data. It frees up labelers from repetitive work with a suite of performance-driven automation tools. Encord applies active listening in its AI-assisted workflow to reduce labeling time for the image, video, DICOM, SAR...
Inferdo Computer Vision services like Facial detection, Image labeling, NSFW classification apiKey Yes Unknown IPS Online Face and License Plate Anonymization apiKey Yes Unknown Irisnet Realtime content moderation API that blocks or blurs unwanted images in real-time apiKey Yes Yes Keen IO Data An...
To train the CNN to detect such events, they were assigned to the class of doublets during the manual labeling process. Figure 2 CNN for detection of cell aggregates. (A) Bright-field images of single cells and cell aggregates of human retinal organoid cells. Images are used to train a ...
Designed by MIT, LabelMe is primarily an image annotation tool that assists in labeling images for computer vision projects. How To Install: Directly use from the web or download the repository for custom applications. Data Captured: Image annotations and data sets. Integrations It can be integra...
Workflow:It offers various flexible tools for efficient workflow. I can use Jupyter Notebooks and Visual Studio Code IDE to program quickly on my device. Data:It is suitable for accessing, managing, preparing, labeling, and pre-processing large datasets with ease. ...
The inference time for each image is 60 ms, on a common graphic-processing unit. This approach of directly imaging unlabeled viral particles may provide an extremely fast test, of less than a minute per patient. As the imaging instrument operates on regular glass slides, we envision this ...
0869 📖 Customized Matplotlib Contour Labeling ★☆☆ 🔗 View 0870 📖 Using Check Buttons in Matplotlib ★☆☆ 🔗 View 0871 📖 Matplotlib Image Transparency ★☆☆ 🔗 View 0872 📖 Matplotlib Curvilinear Grid ★☆☆ 🔗 View 0873 📖 Titanic Passenger Data Analysis with Pandas ★☆☆...
It offers numerous algorithms and data structures for machine learning problems. The focus of Shogun is on kernel machines such as support vector machines for regression and classification problems. Shogun also offers a full implementation of Hidden Markov models. The toolbox seamlessly allows to ...
Deep learning extracts patterns and knowledge from rich multidimenstional datasets. While it is extensively used for image recognition and speech processing, its application to label-free classification of cells has not been exploited. Flow cytometry is a powerful tool for large-scale cell analysis ...
ImageNet X X CamVid X XDeep learning serverless functions for automatic labelingNameTypeFrameworkCPUGPU Deep Extreme Cut interactor OpenVINO X Faster RCNN detector OpenVINO X Mask RCNN detector OpenVINO X YOLO v3 detector OpenVINO X Object reidentification reid OpenVINO X Semantic segmentation ...