Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange
Join us in building a kind, collaborative learning community via our updated Code of Conduct.

The tag has no usage guidance.

2
votes
0answers
13 views

Better to crop or compress training data?

I've been trying to make an object recogniser in Tensorflow and have used labelImg to classify large electrical transmission towers at varying distances. In order to make 10-16MP (~2-7MB) images train ...
0
votes
0answers
10 views

AVOD Object Detection Library Using Point Cloud and Image Data

I downloaded and used the AVOD object detection library using the code and instructions available on the following github link. https://github.com/kujason/avod I ...
1
vote
0answers
11 views

Detecting directions using Convolutional neural networks [closed]

I am working on a task where I have to detect damages on the vehicles and exactly where the damage has occurred. So I have to not only detect the damage on the door but also mentioned which door(front ...
3
votes
1answer
58 views

How to label “other” while labeling image for object detection/classification?

I want to train a model to recognize the different categories of food e.g. rice, burger, apple, pizza, orange and other things. After the first training, I realized that the model is detecting other ...
0
votes
0answers
12 views

How to calculate distance between objects Yolov2?

I want to calculate distance between every objects in yolo v2 . how would i able to perform this ? I am new to yolo v2 and after some fact finding i would not be able to find something on the internet
1
vote
1answer
26 views

Detecting person on the picture if we know it is there

I implemented an algorithm for pedestrian classification using Keras and Tensorflow and it is quite good, it has 96 percent accuracy on test data. It gives you information about existence of a person ...
5
votes
1answer
740 views

Does image's background matter for detector training (CNN)?

Does an image's background matter for detector/localisation in the training part (using CNN)? For example, if I want to make a face detector, which one is better as training dataset? Faces cropped ...
0
votes
0answers
74 views

What is the difference between tensorflow saved_model.pb and frozen_inference_graph.pb?

I've re-trained a model (following this tutorial) from the google's object detection zoo (ssd_inception_v2_coco) on a WIDER Faces Dataset and it seems to work if I use ...
2
votes
1answer
41 views

Object Detection classification

I am currently training a classifier for detecting resistors using TensorFlow Object Detection API. For that, I downloaded resistor images from ImageNet and I am currently labeling those who will be ...
0
votes
0answers
14 views

Most simple algorithm for pedestrian detection

I would like to implement a simple pedestrian detection algorithm. I would like to know which one is most simple to implement. I want to use neural networks and Keras. The algorithm should predict if ...
0
votes
0answers
64 views

Retraining an object detection model on fewer classes

I have been trying to create an object detection model with tensorflow supposed to detect only 2 classes of objects on an embedded device. I've first tried with ssd_mobilenet_v2_coco, it works but ...
0
votes
1answer
97 views

How to download images and bounding boxes from imageNet?

I am doing object detection for a specific class, say, chairs . I want to download images of chairs from imageNet. I also want to download the annotation xml files ...
0
votes
1answer
43 views

How to train model on specific classes from dataset for object detection?

I want to use darkflow to perform object detection. I have 5 classes of objects I want to detect, say , ...
0
votes
0answers
20 views

customizing haar cascade classifier

I have implemented the haar cascade classification for object detection. I want to extract daubechies features in the same way and apply a classifier of my interest. How to customize haar cascade ...
2
votes
0answers
14 views

Contextual Object Detection

An example of what I'd like to do is identify the price of a product on a product page. While I can train a CNN to identify prices, it's likely that it would recognise every instance of a price on a ...
3
votes
0answers
239 views

Preparing ground truth labels for YOLO3

I want to train YOLO3 for a custom dataset that has raw labels in JSON format. Each bounding box in JSON is specified as [x1, y1, x2, y2]. So far, I have ...
2
votes
1answer
323 views

mAP scores on tensorboard (Tensorflow Object Detection API) are all 0 even though the loss value is low

I trained a faster-rcnn model on the tensorflow object detection API on a custom dataset. I found that the loss is ~2 after 3.5k steps. However, when I ran eval.py, the mAP scores are all almost 0 as ...
1
vote
1answer
48 views

How to setup my Ubuntu PC for these Deep Learning frameworks? [closed]

I need to use both NVIDIA Digits and tensorflow Object Detection API for different deep learning purposes. I am a bit lost with the compatibility issues, especially for what concerns CUDA. So which ...
0
votes
1answer
59 views

Space between an object and the ground truth bounding box

Which way is better for drawing the ground truth boxes for object detection? Drawing as tight as the sides of the box touch the border of the object, or Make a little space between the box and the ...
9
votes
5answers
336 views

Unsupervised image segmentation

I am trying to implement an algorithm where given an image with several objects on a plane table, desired is the output of segmentation masks for each object. Unlike in CNN's, the objective here is to ...
3
votes
2answers
79 views

Best neural network architecture for object detection without location

I want to build a model which is able to detect the presence of a specific object in the image without caring about the location (i.e. no bounding boxes, just 0/1 output). More specifically, the ...
0
votes
0answers
117 views

Problem with Loss function in CNN for Object Detection

I am trying to train a CNN in TensorFlow to perform text localization in images by using regression to output a bounding box around the text. I have created a custom dataset by pasting images from the ...
1
vote
0answers
655 views

How to perform Instance Segmentation using Tensorflow?

I used Tensorflow Object Detection API for a custom dataset based on the instructions at this help document.As required , collected the dataset,annotated it in PASCAL VOC XML format,split into ...
1
vote
0answers
26 views

which algorithm will be good for detecting and recognition of faces from variety of angles

i am building a face recognition app for my class attendance system , i collect training data from social website like facebook, instagram and other, as you can see the images i got from there is not ...
0
votes
0answers
283 views

How exactly does Keras stop_gradient work?

My problem is that I'm using Matterport's Mask RCNN implementation only for detection (bounding boxes) on my own data. The data comes along without masks. Unfortunately, the masks branch is deeply ...
2
votes
2answers
526 views

Faster-RCNN how anchor work with slider in RPN layer?

I am trying to understand the whole Faster-RCNN, From https://www.quora.com/How-does-the-region-proposal-network-RPN-in-Faster-R-CNN-work Then a sliding window is run spatially on these feature ...
2
votes
1answer
1k views

Preparing custom dataset for object detection using ML

Seeking clarity on single class object detection model using ML. I have prepared a custom database for this purpose up to 400 images which is split in 80%-20% as training and testing data-set. These ...