Questions tagged [object-recognition]
The object-recognition tag has no summary.
60 questions
1
vote
0
answers
27
views
Which approach to determine the size of an object to be placed given the sizes of the existing objects in a scene?
I am working on an automated approach to object-based data augmentation. The goal of the approach would be to add a selected object to an existing image. To automate this task, information is needed ...
- 11
1
vote
0
answers
26
views
What kind of object detection model is required?
I have some images, and my task is to build an object detection model for detecting tables and equipment photos in the image. The target would be detecting objects (table and equipment), so I can crop ...
- 111
0
votes
1
answer
2k
views
Should training images contains single or multiple object instances?
I'm pretty new to ML so I apologize for the potentially trivial question; I've been unable to find a clear answer to my question.
Let's imagine that I want to build a model that is able to detect ...
- 121
0
votes
1
answer
110
views
Classification: ClassA vs. "everything else"
I am trying to create a neural network for recognizing a particular object. Maybe I am approaching this task from the wrong side, but, in my mind, this task boils down to teaching the network to do a ...
- 121
1
vote
1
answer
101
views
DeepSORT features
I'm reading about Detection and Tracking algorithms and I'm unclear about the DeepSORT algorithm:
How does the DeepSORT algorithm gets the features? Does it "hijack" the feature vector from ...
- 133
1
vote
0
answers
948
views
Object Detection without annotations and labels
Problem Statement:
I am given 2 sets of images. All the images in both sets are without annotations and labels.
First set : a set of images of the grocery store shelves (captured in the grocery stores)...
0
votes
1
answer
223
views
Uniform detection: a starting point?
Given an image of a worker, I need to verify if he/she is wearing the company's uniform.
I tried to Google, but either the search results are about uniform sampling or some object detection tutorials.
...
- 181
1
vote
0
answers
37
views
Pre trained vehicle detection from low altitude view
I have a very noob question. I need some solution to detect all vehicles in the video (or at least in the image).
I have tried YOLOv3, however, it cannot recognize cars from the top (like that in the ...
- 119
0
votes
1
answer
259
views
Estimate the location of an object in a field using computer vision and math
I'm trying to see how to detect the location of a soccer ball in the field using the live camera. What are some ways to achieve this? At this point I'm more interested in ideas and thoughts and not ...
- 257
0
votes
1
answer
53
views
14
votes
5
answers
3k
views
How can you include information not present in an image for neural networks?
I am training a CNN to identify objects in images (one label per image). However, I have additional information about these images that cannot be retrieved by looking at the image itself. In more ...
- 143
0
votes
1
answer
559
views
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 ...
- 1,521
1
vote
1
answer
293
views
optical chemical structure recognition from images
I want to recognize name of the chemical structure from the image of chemical structure, like in the given image it is benzene structure I want to recognize that it is benzene from the image(I should ...
- 191
1
vote
0
answers
35
views
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 ...
- 11
0
votes
1
answer
92
views
Recommendations to generate a training set of images
We are about to start a series of experiments in physics which will generate 8.5 thousands of images per month. This is a study on microscopic material reactions so the images are not 'normal' objects ...
- 121