Questions tagged [object-detection]

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6 views

Yolo v1 loss function misunderstanding

I am currently implementing Yolo v1 from scratch and I have some difficulties to understand the confidence loss part. The different implementations and articles I have seen on internet seems to give ...
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4 views

Can mAP score be used to describe “recall” rate?

I have a general question regarding the mAP score used in measuring object detection system performance. I understood how the ...
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13 views

How do I identify specific parts of a PDF document?

I have a bunch of medical records that I have to input manually. I would like to automate this but all of the records are in different formats. What is the best strategy to build a deep learning model ...
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How does a Faster R-CNN gets trained and how does the Region Proposal Network fits into that?

so a Faster R-CNN consists of 3 parts: -the Base CNN -the Region Proposal Network with RoIpooling -and the classification CNN at the end So I asked myself if all these three Networks are trained ...
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How should i prepare my dataset for efficient object detection and multi class classification?

I am currently using faster RCNN inception v2 model for detection and classification of object of 2 different type which are very closely identical (eg. rip apple and partially stall apple). how ...
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How mAP is unfair evaluation metric for Object Detection?

The following figure is from the last page in YOLOv3 paper highlighting how mAP is unfair metric for evaluating Object Detectors: The figure shows two hypothetical Object Detector results which the ...
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Does object detection do a better job at image classification than image classification

I read in an article that object segmentation can do object detection better than object detection algorithms. I assume this is because there is more detailed information in the annotation images. I ...
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4 views

Component detection, design process questions

I'm trying to perform feature location on a mother board of a specific kind of notebook. What I have tried is that I took a large number of image of the whole motherboard. I have 5 classes of ...
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1answer
23 views

Why is it necessary to overfit a yolov2 on a subset of images before model training?

I am using yolov2 for passport details detection with 8 classes? My object detectiion bounding boxes has errors though recognition being fine. I want to know if object_detection by overfitting with a ...
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What are the main reasons which does not cause the training error of yolov2 to not diminish?

I am using https://github.com/thtrieu/darkflow yolov2 for detecting and classifying the images of passport. There are 8 classes and all the objects are passport details like name, father name, mother ...
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14 views

Neural Network to generate data for another network?

I was wondering if its possible to develop and train a neural network that generates training data for another network (or possibly itself). I came to this thought wondering the difficulty in creating ...
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Datasets with x,y coordinates of ball, puck, other sports ball/projectile [migrated]

I want to train TrackNet more because it's accuracy is not that good. TrackNet Gitlab repo The tracked tennis ball wobbles unnaturally on tosses for serves, etc. So I figured that following the ...
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How strong is the generalization ability of YOLO?

I have a question about the generalization ability of YOLO or deep learning methods in general: I am working on vehicle detection and classification in highway traffic surveillance videos. As you ...
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36 views

Object detection model using images which have single instance of class per image-can it detect multiple instances in a single image?

I tried to train Faster R-CNN to detect multiple instances of a single class (eg. pomegranate on a pomegranate tree) but the training data consisted of 200 images where each image had only one object ...
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How can I save full model of MaskRCNN?

I am using MaskRCNN method for object detection. The link is here: https://github.com/matterport/Mask_RCNN The method saves weight, but I am going to save full model it gives the following error: ...
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72 views

Keras reuse trained weights on CNN with different number of channels

Related to TrackNet, a CNN for tracking tennis balls on TV tennis matches, the Arxiv paper mentions it is scalable, ie. the input can be any number of frames concatenated rather than the three they ...
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Trouble understanding AVOD Paper

I am reading the AVOD paper on Object Detection and had two questions regarding interpretation: "tz is determined by the sensors height above ground" (III. C "Multimodal Fusion Region Proposal ...
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Can we calculate iou and mean iou with only images and labels and without train and test csv file

Are train and test CSV files necessary for calculating IoU (Intersection over Union) and ...
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23 views

How can I read input node and output node from .h5 file in keras model?

I trained my own dataset using MaskRCNN. My trained file is in .h5 file format. Now I want to know/read input node names and output node names. How can I read?
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How to calculate size and offset of YOLO grid in a fully convolutional network with zero padding?

Fully convolutional network with zero padding: I have a fully convolutional network which does not have any padding in convolutional layers. This implies that, after each convolution operation, the ...
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1answer
61 views

Sliding window Algorithm and its convolutional implementation

I want to know why the convolution implementation of the sliding windows is equivalent to the sequential step-by-step sliding window? Why are they the same thing? I'm following Andrew NG for this: ...
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1answer
31 views

What model should I use for bounding box detection?

I am working on building a cow detector for a local farm. I have a dataset of images with bounding boxes (not segmentation polygons) for every cow appearing in the images (different number of cows in ...
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issues related to implementation of the paper 'Perceptual GAN for small object detection'

I am trying to implement the perceptual gan network using keras as backend. I am new in the field of GAN, can anyone provide me the model for perceptual GAN in keras backend
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Issues related to the code for ROI pooling from the feature map

I am trying to do ROI pooling on the feature map obtained from the VGG layers but I don't know how to code this layers. Can anybody help me out? Here is my VGG layers: ...
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Implementation of the paper 'Perceptual Generative Adversarial Nets for small object detection'

I studied the research paper on Perceptual Generative Adversarial Nets for small object detection. There they have detailed the structure of Generator network as given in the picture below: I am new ...
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1answer
87 views

Smart data split (train/eval) for Object Detection

I am looking for a smart way of splitting object detection data (images with labelled objects inside them) while taking into account the distribution of the objects themselves and not just the images. ...
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Can Haar cascades be used for object tracking (aside from detection)?

I've trained and developed a Haar Cascade classifier xml using my own dataset to classify pedestrians. Is it possible that, while detecting, I can count the total detected people? The farthest thing I'...
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193 views

Transfer learning on yolo using keras

I am working on a project that uses object detection. I have logo images that need to be detected in a video. I am doing this in keras. I followed this blog to convert the yolo weights to a keras ...
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33 views

How to choose our data set wisely?

I have a couple of questions and I was wondering if you could answer them. I have a bunch of images of the cars (side view only). I would like to train a model with those images. My objects of ...
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What is the initial size of anchor in Faster R-CNN?

So we generate anchors for input images which will be later used for classification and then regression for bounding box. If we have image size of 224*224*3 and our feature map is of size 7*7*512. ...
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Object Detection using Faster R-CNN conundrum

So we have our image right? We use some pre-trained model like VGG or Inception which will predict the feature_map. Suppose to a shape of (7,7,512) from the original of (224,224,3). We use this ...
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Should detection times get longer for dlib.train_simple_object_detector when I add more images?

I've played around some with dlib.train_simple_object_detector and have found that as I add more images the detection time grows longer when I later perform detections. Why is this happening? To my ...
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How to detect hand or head using opencv in python (Without bounding box)

Can anyone help me how we can detect hand or head using opencv. I want to detect hand or head in any lighting condition. right now I have developed using bounding box and contour comparison algorithms ...
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How to find the False Positives per Image when using the Tensorflow Object Detection API

I have trained a Faster-RCNN Model using the Tensorflow Object Detection API on a custom dataset consisting of 10 classes. I have evaluated its performance and obtained the mAP and AP for each class. ...
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Image-Level Detection

I am not sure if this is the correct term to use, but I'm looking into Image-Level Detection models. By image-level, I mean models that get an image as an input and then determine whether it belongs ...
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22 views

Creating an Object Detection model with images and coordinates of bounding boxes

I am trying to build a custom Object Detection model which can detect guns from a given image. The dataset is from here. The dataset has a good number of images and each image has 4 coordinates of ...
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1answer
26 views

What's the difference between Haar-like Features and Haar Cascades?

Are they the same in terms of their algorithm? Or do they differ in their respective detection methods?
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1answer
150 views

Creating a Object Detection model from scratch using Keras

I have a dataset containing 330 images which contain guns. Along with the images, I have a text file associated with each image file which contains, The number of objects ( guns ) in the image. ...
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1answer
93 views

Extracting structure and content from invoices

Lately, I have been largely inspired by this https://rossum.ai/, which is able to extract text from invoice documents. Do you have any ideas on how this could be implemented? It's clear that they ...
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27 views

Does the score output of a classification model has a global meaning?

The scores-output layer contains the class scores that the model generated for the current sample and it is passed thru the softmax layer to get the final output in the form of a probabilities vector. ...
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What is the difference between semantic segmentation, object detection and instance segmentation?

I'm fairly new at computer vision and I've read an explanation at a medium post, however it still isn't clear for me how they truly differ.
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number of images vs num of annotations per image

I am training a fasterRCNN with ResNet-50 as backbone feature extractor, for 2 classes(OBJECT OF INTEREST & background). Below is the information about my data: Big and medium sized objects of ...
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Is it possible to modify the layers of the models present in the Tensorflow Object Detection API

I would like to know if there is any way in which we can change the base layers of the models offered by the Tensorflow Object Detection API and if so, is it possible to change things like pooling/...
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43 views

Understanding Faster R-CNN

I'm having some trouble understanding the way the Faster R-CNN algorithm works. Specifically, the way the authors describe the concept of anchors. In their paper from here they describe anchors in ...
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I can not find a pre-trained neural network model for object detection

A simple model is needed, but with good accuracy, mAP for detecting objects is preferably trained on COCO, preferably on ipynb (to run or train on google colab). The models from the Tensorflow (...
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How to change the neural network model to improve the accuracy of mAP without learning from 0, but retraining already trained model

how you can change the Faster R-CNN Resnet 101 or Faster R-CNN Inception Resnet V2 model to improve the accuracy of mAP detection without learning the model with 0, but retraining already trained ...
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How do I change the IOU while running the eval.py script using the Tensorflow object detection API

I have trained a FasterRCNN_Inception_Resnet_v2 model using the TensorFlow object detection API on my own custom dataset. I am successfully able to evaluate the performance and get the AP of each ...
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State of the art in accurate object tracking & detection

Im working with an offline video file which has vehicles in it. I tried using YOLOv3, but it is not very accurate. Moreover, it kind of fails in occlusion. I am concerned more about accuracy than ...