Questions tagged [object-detection]

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A pretrained model for mathematical equations characters detection

I am working on a project to convert equations to LaTeX code. After segmenting out the characters, I got stuck on the detection part and was looking for some pre-trained model that could detect ...
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17 views

How to interpret curve of regularization loss during CNN training?

I am fine-tuning a single shot detector (SSD) in tensorflow object detection api. I didn't freeze the backbone (mobilenet), I programmed the learning rate to go from e-3 to e-4 to e-5. In the paper ...
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15 views

How to interpret hard negative mining curves while training a deep object detector?

I am training a single shot detector (SSD) in tensorflow object detection API. After having read the paper and some articles online, I understood that hard negative mining trains the network on 'hard ...
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7 views

Local RoI features in Faster/Mask R-CNN

I use Faster and Mask R-CNN for various problems, including training GANs. I'm particular interested in local features that Region Of Interest module in Faster R-CNN extracts from feature layer(s). ...
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8 views

Custom Object Detection on Azure Machine Learning or Databricks

I'm looking to train a custom object detection model using Tensorflow's API. Is it possible to do it in Azure ML Studio or in Databricks? Object Detection link - https://tensorflow-object-detection-...
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18 views

Possible?: Split pdf file on pages where object detection algorithm finds custom object

I have scanned documents in large pdf files consisting of many individual documents. Each document begins with a exhibit number sticker, much like this one: example. The files are scanned in greyscale....
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20 views

Possible?: Split pdf file on where object detection algorithm finds custom object

I have scanned documents in large pdf files consisting of many individual documents. Each document begins with a exhibit number sticker, much like this one: example. The files are scanned in greyscale....
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25 views

What is the difference between proposal-based approach and proposal-free approach?

From here it says that Techniques to solve instance segmentation can be roughly grouped into two categories: proposal-based methods and proposal-free methods. In proposal-based methods, a set of ...
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1answer
27 views

Can I train a CNN to detect the number of objects without localizing them first?

So I was trying to search but couldn't find any answers. I was wondering if it possible to train a model to detect the number of items of interest in a photo without having bounding boxes or dots to ...
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1answer
23 views

What is an object detection problem with only one class called?

Object detection is defined as the problem in which a model needs to figure out the bounding boxes and the class for each object. A lot of ML solutions for object detection base around having "two ...
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27 views

How to implement a yolo model using tensorflow?

I want to implement a face detection model using TensorFlow. I have a dataset downloaded from Google's OID. I have prepared the annotation file as required in the Yolo. But I don't understand how to ...
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9 views

Visualizing Faster R-CNN Result

I'm a newbie in computer vision and trying to learn object detection, and the first task my supervisor gave me was to create object detection model using Faster R-CNN. After days and nights of ...
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7 views

Linear Bottlenecks from MobileNetV2

I am trying to understand the need for the linear bottlenecks in the MobileNetV2 architecture. There are two points that the authors make: If the manifold of interest remains non-zero volume after ...
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1answer
15 views

Image classification: Predict all objects' classes without bounding boxes

I'm trying to identify the problem here: I want to input an image and output the classes associated with all the objects in that image, not necessarily predict bounding boxes. I have been looking for ...
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1answer
63 views

size of deep learning object detection pre-train models

I am benchmarking five different models, YOLO v2 YOLO v3 Cascade R-CNN Faster R-CNN Retina Net In my comparison, I would like to know what the sizes of each ...
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16 views

YOLOv4 SPP module

For SPP module of YOLOv4 , how to understand the following description of SPP module ? Why infeasible to be applied in Fully Convolutional Network (FCN) ? What did YOLOv4 improve on the SPP module ? ...
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33 views

How can I calculate the F1 score using Mask RCNN?

I customized the "https://github.com/matterport/Mask_RCNN.git" repository to train with my own data set, for object detection, ignoring the mask segmentation part. Now I am evaluating my results, I ...
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11 views

What to do when there is more than one object in a cell in Yolo v1

I'm trying to implement Yolo v1 and I'm kinda stuck with its loss function. I understand the need of multiple bounding boxes per cell although only one object is detected per cell. Each bounding box ...
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1answer
22 views

YOLO annotation guildelines: overlapping and partially visible objects

Can you please advise on how I should annotate objects that are partially visible or overlapping?
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9 views

How to design a system to track faces in video?

I am quite a beginner, thus have little acquaintance with the literature. I would like to create the following, and assume someone has done it before me: Find multiple (single will do at first) ...
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40 views

YOLO Dense Prediction

I have two questions about dense prediction in YOLOv4 paper What does it mean by the (hard negative, online hard) example mining method is not applicable to one-stage object detector, because this ...
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122 views

mAP calculation for object detection yolov3

I'm currently working on yolov3 implementation in tensorflow 2.0 and currently I'm working on calculating the mAP(mean average precision) scores to evaluate trained models which is a popular metric in ...
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1answer
45 views

Choosing between two object detection model checkpoints

I have the mAP scores for an object detection model evaluated at different model checkpoints. I want to choose the model that has the maximum recall on the test dataset, meaning the model which missed ...
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6 views

Mask R-CNN Model mAP evaluation defaults to same evaluation after multiple training sessions

I am new to computer vision and have been trying to train the Mask R-CNN model on a thermal image dataset. I have about 3k images annotated with different objects such as Windows, Facades, Doors, ...
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1answer
17 views

Is an image with 5 labels equivalent to 5 images with 1 label?

I am collecting data to train an object detection model using and was wondering if 5 labels in the same image and 5 images with 1 label each provided the same quality of input training data. Example: ...
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1answer
13 views

Detect Objects on a table

is it possible to train a model which detects and draws bounding boxes for objects on a table, when I use a dataset where objects on a table are labeled with boundingboxes?
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24 views

Detect the presence/absense of simple components from a circuit board using object detection

In this case I have a challenge of inspecting a recently mounted product, using computer vision, to detect the absence of any component that I have to check. For this task, I tried the concept of ...
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The features from CNN and R-CNN for a region

I have a dataset of images with bounding boxes around the regions in the image. I do not need R-CNN to detect the regions as they are given in the dataset, but I need to extract the features of the ...
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4 views

YOLO9000: intuition behind prediction managing different image input sizes during training

I am trying to understand the intuition behind how the network architecture of YOLO9000 is able to manage different input size without changing the architecture. Context In YOLO9000 paper it is ...
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26 views

Tensorflow object detection eval.py performing endless loop

I'm using tensor flow object detection API and while running the eval,py it load for few seconds then start this error and it repeats it like for ever INFO:tensorflow:Found already evaluated ...
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44 views

Calculating the F score of Object Detection of Mask RCNN

I am using Detectron2 Mask RCNN for an object detection problem. The images consist of cells that are very close to each other. I can not use mAP as a performance measure since the annotations are a ...
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1answer
22 views

How can I annotate labels to images automatically?

I have 80 classes, for each class, there are 100 images. I want to label all images for object detection. For this task I have downloaded the LabelIMG tool but it's taking a long time to do it. How ...
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32 views

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 ...
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15 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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18 views

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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12 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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8 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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46 views

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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117 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
34 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
48 views

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
28 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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23 views

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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23 views

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
27 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
221 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
44 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
25 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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30 views

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. ...