Questions tagged [object-detection]

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Is there any paper of object detection that detect not trained class or object?

After reading some object detection papers (kinds of R-CNN, YOLO,...) I'm wondering if there is a detector that detects objects about not trained class. for example, my model is not trained to detect ...
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13 views

Feature selection and Model structure for object detection in TensorFlow

So I'm making a TensorFlow model to detect an enemy player on screen (if present) and return me its position. I'm using transfer learning with some fine tuning because it's much faster than training ...
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FasterRCNN for Invoice fields

I am trying to train a neural network to recognize fields in a document PDF. Each document looks different, but the fields look the same. For example, I may have a field "Invoice Date" that looks like ...
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9 views

How can I detect the frame from video streaming that contains the clearest shot of a graffiti on city walls?

I am working on a graffiti detection project. I need to analyze data stream from a camera mounted sideways on a vehicle to identify graffiti on city walls and notify authorities with the single best ...
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7 views

Is it possible to train a model on a more complicated data set and then retrain on a simpler dataset that has continuous frames for LSTM model?

I'm attempting to do lane detection using CNN-LSTM architectures on the TuSimple dataset. However the TuSimple data set isn't very difficult and the results are sometimes poor (visually). I want to ...
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How will a CNN for object detection learn from some improper annotations?

For example I want a FasterRCNN to detect dogs and cats in images. I have a dataset of 100 images. In each image there is atleast one dog and one cat (both classes are present in all images). But ...
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41 views

How can I get testing accuracy using tensorboard for Detectron2?

I'm learning to use Detecron2. I've followed this link to create a custom object detector. My training code - ...
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1answer
31 views

What is Image Annotation?

Why do we need to use Labelimg tool for object detection? After labeling the bunch of training images using labelimg tool which will give CSV file How that CSV file works with TensorFlow object ...
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2answers
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Creating a custom dataset for object detection

I'm currently trying to build a model to recognize approximately 10 labels (food items) in a fairly controlled environment (refrigerator). I was unable to find datasets that worked well enough for my ...
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31 views

What is mAP in object detection?

I have been reading through this blog in order to find what mAP is .In the sub heading of AP, they give the example of 5 apple images and finding out the average precision.As far I understand false ...
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1answer
23 views

Unsupervised learning algorithms for object detection

Are there any unsupervised learning techniques or algorithms which can be used for object detection just like CNN? If there are any, what are your thoughts on it? Thanks for your time.
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Object detection - noisy world coordinates clustering

I'm performing object detection (2D) via a robot that moves (left-right-left - around 10 seconds for the loop). The robot also has a depth camera and positioning sensors (odometry). Each frame the ...
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creating a depth image dataset in Unity for object detection

I'm trying to train a model to detect and classify poses of silhouettes in depth images. The goal is to detect old the falls of old people at home. I'm using SSD and YOLO. As you may noticed, having ...
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Is tensorflow provide object tracking api with detection?

I am using the TensorFlow object detection API to detect the person. I have one more use case to track a person. Is there any possibility to achieve this using TensorFlow object detection API or they ...
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1answer
21 views

why we need data labelling tool for computer vision?

Before start training images with tensorflow object detection api we need to use labelling tool to annotate our images and converted to XML format. What happens when we convert our annoted image to ...
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1answer
109 views

Using Tensorflow object detection API vs Keras

I am new to machine learning. I am curious to know what is the difference between using Keras instead of TensorFlow object detection API. We need to manually configure hidden layers and input layer in ...
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2answers
41 views

Papers presenting results that are worse than random chance

Is it me or has there been an increasingly large amount of object detection papers describing models that are performing worse than chance. Here is an example (an extract so not to name names):- AP ...
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1answer
24 views

Object Detection scratch implementation or high level API?

I am at an intermediate level in Deep Learning. I wanted to implement object detection from scratch. Is the scratch implementation possible by a single person or will i have to use an high level API ...
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Is it possible to train YOLO (or other object detectors) from the raw architecture, rather than cloning\downloading it?

I am trying to do object detection but I am faced with some issues. I cannot install YOLO, or any other existing models that require cloning a repo, and a certain number of other limitations. ...
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1answer
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YOLO: How many bounding boxes?

In the research paper, for S=7,B=2, the model predicts 2 bounding boxes for every 7x7 grid cell hence 7x7x2=98 images are predicted per image. Yet the demo output image only has 3 boxes. Why is that? ...
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What is the current state-of-the-art, out-of-the-box alternative to Darknet YOLO?

I am unfortunately unable to use YOLO. I am trying to implement another solution. Ideally, this would be a neural network architecture with weights that I could import easily like any other Keras/...
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What does “context” mean in the context of computer vision models

I'm reading this research paper and I do not understand what they mean by "high level context".
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1answer
50 views

Relation between hyperparamters and training set for an object detection model

I have 2 instances of an object detection model. The only difference between these two models is the training data used: The first model was trained with a small training set The second model was ...
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1answer
31 views

On which data evaluate an object detection model ? (similar or real life data ?)

I'm training an object detection model (SSD300) to detect and classify body poses in thermal images. Even I have more than 2k different poses, the background does not change much (I have only 5 ...
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Extracting information from table within invoices

I am trying to find specific information from supplier invoices using ML. Now, I have a lot of invoices I can use for test (+100k). I figure the first step is to label them, so I can train a model to ...
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1answer
47 views

How YOLO training and prediction works for an object fall in multiple grid?

So far what I understood about YOLO, it expects training image should be divided in to fixed grid, where each grid has Label like P(object present or not), object bounding box, object classes. ...
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1answer
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Keyword localization in audio file

I want to build a model that can localize occurrences of a particular word in an audio file. For example, I want to find the word "pizza" in a ~5min recording. The program should return an array with <...
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169 views

Tuning SSD Mobilenet for better performance

I'm using Tensorflow's SSD Mobilenet V2 object detection code and am so far disappointed by the results I've gotten. I'm hoping that somebody can take a look at what I've done so far and suggest how I ...
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310 views

How can we extract fields from images?

I am making an document parser which extracts data fields from the documents and store them in a structured way. Each field in my dataset is horizontal which is easy to extract. But the model fails ...
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30 views

Suggestions for building Localisation algorithm for 5 classes

I'm currently working on a project for object detection using a very light CNN model , but till now I was able to classify all 5 classes with ~94% accuracy with 5 layered CNN using Keras and now I'm ...
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23 views

Generic object detection - unspecified list of classes and high accuracy

As a part of a small project, I would like to create tags for a set of pictures (posters). I know that if I want to recognize a lot of objects I need to have a model that was trained on a large ...
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Determining position of anchor boxes in original image using downsampled feature map

From what I have read, I understand that methods used in faster-RCNN and SSD involve generating a set of anchor boxes. We first downsample the training image using a CNN and for every pixel in the ...
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PyTorch Faster R-CNN ResNet50 - support for occlusion?

Currently I'm using the PyTorch model Faster R-CNN ResNet50. I instantiate this as follows: ...
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1answer
184 views

what is darknet and why is it needed for YOLO object detection?

what is darknet and why is it needed for YOLO object detection ? I read that its a neural network written in C , but why is it needed for YOLO object detection when we have lot of machine learning ...
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1answer
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why we have run make.sh file initially in darknet and YOLO object detection?

In have seen a couple of text and objection detection algorithm wher the first step everyone dose is to install cython and run a make.sh file . why we have run make.sh file initially in darknet/YOLO ...
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Where can I download images along with their annotations xml?

I need images and their annotation(xml) of various catgeries like 'Jackets','truck' ,'glasses' .Which site can I find them or is there any github repository where I ...
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19 views

Tensorflow Object Detection API, update performance measurement

I am using Tensorflow Object Detection API to classify objects in the images. I am using own dataset. I am facing the problem of performance. I need a suggestion about the training strategy. I have ...
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2answers
70 views

How can we create an label, value detector?

I am trying to implement an text detector using MaskRCNN such that the model detects the label and value as shown in the image below. Detecting the same is easier for fields like page date and order ...
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0answers
71 views

Curve of MAPs to evaluate training progress of Mask RCNN on synthetic data

Is MAP (Mean Average Precision) a good substitute for measuring training and validation accuracy at different stages of training a machine learning model for object detection? I am retraining a Mask ...
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Find Correspondence between Image Pair

I have a problem with the following provided: (for some reason I can't disclose the dataset) Dataset My dataset is a bunch of raw images with a lot of strip-like objects. Each image has a lot of ...
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7 views

Is it possible to train a object detection network with fixed topology for a variable amount of classes?

Let's assume we have a neural network detecting objects (e.g. YOLO). The network topology is built to detect 10 different object classes. But for now I don't know, which objects I potentially want to ...
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detect diagram region in research papers

How can I detect diagram region and extract it from a research paper
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1answer
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Is there a common strategy to measure if a difference-significance of two areas under two ROC curves

I conduct sound detection experiments with mice. I have a stimulus sound and a "noise" sound that shoukd be ignored. I want to measure how well the mouse ignors the noise (with respect to, say, ...
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1answer
21 views

Detecting hand-written objects from images

Problem Statement: Identify the sub-region in an image with hand-written text/scribbling (Attaching an example for reference. Masked some text for privacy) Once I get the pixel values, I want to ...
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Using context to improve object detection and image classification

we are building an image classifier using the Tensorflow Object Detection API. Our images often appear in groups, e.g. a cluster of dogs playing in the grass. Ofter our model will recognize some of ...
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One part of my loss function overfits. How do I fix this?

I am working on an object detection problem where the final loss that is being optimized is the sum of an L2 loss (for the error in the predicted w, h values), and three binary cross entropy losses (...
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1answer
27 views

Classifying objects in video without machine learning

Recently, Nick Bourdakos posted a series of videos demonstrating bottle detection in a video stream using Tensorflow.js. Specifically, he is using SSD-mobilenet. The problem could be summarised as ...
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Combining 2D Detection with Disparity Maps to Learn 3D Object Geometry

Since the disparity map above is a representation of the object's distance from the camera's origin, is it reasonable to assume that a network (perhaps a convolutional LSTM) could be trained to ...
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Grape disease detection

i'm trying to realize a detector for diseased grape leaves, for this par of the project i'm just interested in detecting lets say, the percentage of diseased to healty leaves and/or place a flag where ...
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2answers
157 views

Attribute error when loading pickle file in python jupyter notebook

I have created a config file with the following code for an object detection task and saved in the local disk. ...