DetGPT
Object detector
A deep learning model that detects and reasons about objects in images.
755 stars
9 watching
72 forks
Language: Jupyter Notebook
last commit: 4 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 ibm/max-object-detector | A tool for detecting objects in images using deep learning models | 290 |
 matlab-deep-learning/pretrained-efficientdet-d0 | Provides pre-trained and customizable object detection capabilities using an efficient neural network architecture | 15 |
 bharath272/sds_eccv2014 | A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
 vdigpku/m2det | An object detection framework that combines multiple scales and levels to improve detection accuracy. | 1,450 |
 szq0214/dsod | A deep learning-based object detection system from scratch | 706 |
 v2ai/det3d | A general-purpose 3D object detection codebase that supports multiple algorithms and datasets | 1,503 |
 liulei01/drbox | A deep learning based algorithm for detecting objects with arbitrary orientation in remote sensing images | 421 |
 ayoolaolafenwa/pixellib | A deep learning library for image segmentation and object detection using PyTorch. | 1,049 |
 lz118/deep-correlation-network | Develops a deep neural network model for detecting salient objects in RGBT images using correlation information from other colors. | 13 |
 charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,592 |
 weecology/deepforest | A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. | 519 |
 daijifeng001/r-fcn | A MATLAB implementation of an object detection framework that leverages deep fully convolutional networks to accurately and efficiently detect objects in images. | 1,245 |
| vdigpku/cfenet | A single-stage object detection system utilizing a comprehensive feature enhancement module | 198 |
 yknzhu/segdeepm | A tool for fine-tuning deep neural networks to improve object detection and segmentation capabilities by incorporating contextual information. | 27 |
 philipperemy/yolo-9000 | Real-time object detection using deep learning and a large dataset of classes | 1,184 |