Object Detection

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.


Deep Learning for Object Detection: A Comprehensive Review
A closer look at Tensorflow’s object detection models: Faster R-CNN, R-FCN, and SSD.
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An Intuitive Guide to Deep Network Architectures
Intuition behind base network architectures like MobileNets, Inception, and ResNet.
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Object Detection for Dummies
We will go through several basic concepts, algorithms, and popular deep learning models for image processing and object detection.
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The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
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Training a pets detector model with TFOD API (TF 2)
In this notebook, we will be training a custom object detection model using the latest TensorFlow Object Detection (TFOD) API which is based on TensorFlow ...
computer-vision deep-learning object-detection notebook
YOLOv4 With TensorFlow
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite.
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FAIR's next-generation platform for object detection and segmentation.
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MantisShrimp: Universal Object Detection Library (fastai,Pytorch)
- End-to-End Object Detection Library - Unified Data API (Annotation Parsers) - Pluggable to any Training Library (fastai, Pytorch) - Model Hub
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TensorFlow 2 meets the Object Detection API
TF Object Detection API (OD API) officially supports TensorFlow 2!
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