Questions tagged [object-detection]

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Complete and Incomplete Objects

I am working on this project in which I have to detect objects only when they are complete(not when objects are incomplete or partially visible).I have more than 20 classes of objects.I tried with ...
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18 views

Does resizing images during training affect the bounding box annotations?

I am using tensorflow object detection API to train my own custom dataset and I am preparing annotations for the same. I see from the config file of my pre trained ssd inception net, the size of the ...
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19 views

Detect the important part of a receipt (CNN)

In general I want to detect prices and products from a receipt. My approach was to detect the important part of the receipt (products with their prices) to then afterwards pass to firebase ml kit to ...
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Issues with YOLO training

I want to detect plates using on this dataset, I follow this tutorial But an error generated in the beginnig of the training: Any idea how to fix this?
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Similar objects same labels

Example: red paprica and green paprica. The output I need is just paprica, should i label them the same or give them two labels "green paprica" and "red paprica" and leater on just treat them as one? ...
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Will an object detector detect all the 10 objects in an image if the dataset had 1 object per image (the images had 10 similar objects)?

I was making an object detector which will detect balloons in an image. now since there were lot of balloons in the images of the dataset. so I annotated only 1 or 2 balloons per image even if there ...
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11 views

Training object detection models from the scratch without using pre-trained models and weights

I have a data set of 25 images. I wish to run Faster RCNN or yolov3 object detection models on this images.I want to create my custom trained model and get weights after running say 10 epochs. Later I ...
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153 views

How to use Tensorflow Model Zoo frozen graphs in an Estimator pipeline?

As Tensorflow* says on their website, the Estimators API should genereally make most ML tasks more friendly. In the past I've been using Tensorflow's Model Zoo for object detection as I didn't (and ...
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9 views

what will happen if by mistake i train a object detection algorithm with images containing multiple bounding box in the same object?

I have a dataset of images where I may have some images where the bounding box is annotated time on the same object. Will that create a problem in the accuracy of the model?
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Beating Roulette with Neural Networks, YoloV3, and PyTorch

Background: I am in my last semester of electrical engineering, and I am working on my senior design project. The senior design project is a two-semester design project in which students outline, or ...
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14 views

Object coordinate detection with capsNet

Where can I find the implementation of object coordinate extraction with capsule networks in keras or pytorch?
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Measuring object's surface inside an image

Greeting everyone, I'm working on a project on Jupyter Notebook, python 3 , so I have a set of images of products and I'm trying to measure the surface tooken by each product inside the image which ...
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9 views

Computer Vision model/solution deployment channels

I am very new to computer vision and am currently dealing with ways to deploy a computer vision model/solution for my current company keeping in mind the following factors :- 1)Capability to demo ...
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33 views

Intersection Over Union / Bounding Box for multiple bounding boxes in an image

My image has 4 ground truth bounding boxes and the prediction just has 3 bounding boxes I need to calculate the quality of bounding boxes predicted. I know how to calculate IoU / IoBB for 2 ...
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9 views

How do you run Yolo model in parallel instances ? Is their a forked version to run in batches?

How How do you run Yolo model in parallel for different data sources ? Any real time learning's appreciated.
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25 views

CNN model overfitting to a Color, not learning edges

I've been working on this binary classifier which predicts if a certain type of battery is in the live webcam feed or not. The problem I am facing is that my CNN model predicts any 'orange object' in ...
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1answer
31 views

Face detection for different poses more robust than MTCNN?

I am using the MTCNN model described on machinelearningmastery here: MTCNN ipazc But it won't detect certain orientations, ie. somebody lying on the ground so the top of the head points to the right ...
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41 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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15 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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31 views

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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20 views

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
29 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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21 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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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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1answer
51 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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11 views

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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1answer
150 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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6 views

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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1answer
98 views

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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1answer
41 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
135 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
125 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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1answer
23 views

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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1answer
61 views

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
134 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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12 views

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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374 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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1answer
39 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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106 views

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. ...