A Collection of Sublayer objects that allow you to alter the properties of one or more sublayers of the MapImageLayer. If this property is not specified, all the sublayers from the service are displayed as defined in the service. If an empty array is passed to this property then none of...
48k building footprints (enhanced 3DBAG dataset, building height attributes), Capella Space SAR data (0.5m res., four polarizations) & Worldview-3 imagery (0.3m res.), Rotterdam, Netherlands. Agriculture-Vision Database & CVPR 2020 challenge(UIUC, Intelinair, CVPR, Jan 2020) ...
Google-RefGeneration and comprehension of unambiguous object descriptionsCVPR 2016[dataset] ReferItReferit game: Referring to objects in photographs of natural scenesEMNLP 2014[project] 2. Challenges NameWorkshopDateSubmission Link 1st MeViS ChallengeCVPR 2024 Workshop:Pixel-level Video Understanding in th...
Being a highly versatile and practical method of computer vision, image segmentation has a wide variety of artificial intelligence use cases, from aiding diagnosis in medical imaging to automating locomotion for robotics and self-driving cars to identifying objects of interest in satellite images. The ...
A JSON representation of the instance in the ArcGIS format. See the ArcGIS REST API documentation for examples of the structure of various input JSON objects. Returns TypeDescription * | null | undefined Returns a new instance of this class. hasHandles Inherited Method hasHandles(group...
The size of an object in an image, influenced by its proximity to the camera, can affect the model’s ability to identify it accurately. Small objects might not have enough detail for recognition, while overly close objects might appear distorted or too large for the model to classify correct...
Common to the analysis of experimental data produced by such “object-based” imaging experiments is the central role that image analysis algorithms play in the identification and localization of the underlying objects, be they single molecules, clathrin-coated pits, etc. The success of such imaging...
Unsupervised image segmentation is a technique that divides an image into distinct regions or objects without prior labeling. This approach offers flexibility and adaptability to various types of image data. Particularly for large datasets, it eliminates the need for manual labeling, thereby it presents...
The level of detail (of objects and phenomena) represented by an image is often dependent on the pixel (cell) size, or spatial resolution, of the image. The pixel must be small enough to capture the required detail but large enough to facilitate computer storage and analysis efficiencies....
print(f"... # OF REPLICAS: {N_REPLICAS} ...\n")print(f"\n... ACCELERATOR SETUP COMPLTED ...\n") 2.2 数据加载 print("\n... DATA ACCESS SETUP STARTED ...\n")if TPU: # Google Cloud Dataset path to training and validation images DATA_DIR = KaggleDatasets().get_gcs_path('ima...