3D Understanding
Tasks related to understanding and processing 3D data, including 3D object detection, 3D reconstruction, multi-view estimation, and 3D scene understanding.
3D Understanding is a key task in computer vision. Below you will find the standard benchmarks used to evaluate models, along with current state-of-the-art results.
Benchmarks & SOTA
Re10K
RealEstate10K
RealEstate10K is a large-scale dataset for 3D understanding and reconstruction from real estate images.
No results tracked yet
CO3Dv2
Common Objects in 3D (CO3D) — version 2 (CO3Dv2)
CO3Dv2 is a dataset for 3D object understanding, containing common objects in 3D with multiple views.
No results tracked yet
ScanNet-1500
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes (ScanNet)
ScanNet-1500 is a dataset for 3D scene understanding, containing richly-annotated 3D reconstructions of indoor scenes.
No results tracked yet
DTU
DTU Multi-View Stereo (MVS) Dataset (DTU Robot Image Data Sets)
DTU dataset for multi-view estimation and 3D reconstruction, containing multi-view stereo images.
No results tracked yet
Related Tasks
Open-Vocabulary Object Detection
Object detection with open vocabulary - detecting objects from arbitrary text descriptions without being limited to a fixed set of categories.
Video segmentation
Video segmentation is the task of partitioning video frames into multiple segments or objects. Unlike image segmentation which works on static images, video segmentation tracks objects across frames in a video sequence.
Object counting
Object counting in AI is a computer vision task that uses machine learning and image processing to identify and enumerate distinct objects within digital images and videos. It can differentiate between various object types, sizes, and shapes, even in crowded or dynamically changing scenes. The process typically involves object detection using deep learning models like convolutional neural networks (CNNs) to recognize and localize objects, followed by aggregation to provide a total count. This technology is applied in fields like manufacturing for quality control and production monitoring.
Image editing
Image editing is the process of altering and improving images, whether digital or traditional, using specialized tools and software to enhance their quality, appearance, and functionality. This can involve simple tasks like cropping and color correction or complex techniques such as layering, retouching to remove blemishes, and creating new composite images. The goal of image editing is to make images more aesthetically pleasing, correct flaws, or achieve a desired artistic effect.
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