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Object detection using deep learning with OpenCV and Python. OpenCV dnn module supports running inference on pre-trained deep learning models from popular ...
The TensorFlow object detection API is the framework for creating a deep learning network that solves object detection problems. There are already pretrained ...
To build a model that can detect and localize specific objects in images. We will be implementing the Single Shot Multibox Detector (SSD), a popular, powerful, ...
This is a simple object deetection program written in python which detect common objects in an image. Libraries used : cv2 numpy cvlib PIL matplotlib
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a ...
MMDetection is an open source object detection toolbox based on PyTorch. It is a part of the OpenMMLab project. The main branch works with PyTorch 1.8+.
Official PyTorch implementation of YOLOv10. NeurIPS 2024. Comparisons with others in terms of latency-accuracy (left) and size-accuracy (right) trade-offs.
We use multiple datasets in our paper. For generic object detection (GOD), we use MS-COCO 2017. For camouflaged object detection (COD), we use CAMO, COD10K, ...
Detectron2 is Facebook AI Research's next generation library that provides state-of-the-art detection and segmentation algorithms. It is the successor of ...