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Questions tagged [object-detection]

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Using a discriminator to distinguish ground truth and predicted boxes for FRCNN

We have implemented an object detection framework in Keras based on the Faster R-CNN model. Currently, we would like to find a way to automatically classify images on which the model is performing ...
2
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1answer
27 views

How to detect different brands of milk

I'm trying to create a object detection model to detect different type of milk. What is the best approach to achieve the result in the picture below? As you can see in the picture, this model did ...
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21 views

mAP using Tensorflow object detection API

After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection ...
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1answer
52 views

what is the best approach to detect small objects with similar shape?

I'm working a model which detect different products in supermarket shelf. In the training data, there are a lot of objects with similar shape placed very close to or stacked to each others.(eg: milks ...
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14 views

OCR and Barcode extraction from paper form

I want to recognise (OCR and barcode) a set of forms all the same structure. The form is the following (image quality can be improved): I want to extract each of the barcodes and their prepented ...
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0answers
9 views

Extracting metrics from multiple classes of clustered objects

I am working on a project that involves using object detection over satellite imagery to identify (with bounding boxes) say $k$ different objects [houses, cars, farms, lakes, ...]. By considering the ...
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9 views

What (and how) should I use for object detection in this case?

I have read a few papers on object detection and analyzed several implementations of object detection applied to car number plates. In my case, the task is a bit more difficult in that I need to ...
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9 views

ChainerCV training data processing

I have an imageset of 250 images of shape (3, 320, 240) and 250 annotation files and a ImageSet/Main folder containing train, val, test text files which has lists of images for train, test and ...
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1answer
27 views

Issues with training SSD on own dataset

I'm new to ML and trying to train a SSD300, with some Keras-Code github.com/pierluigiferrari/ssd_keras I found on github. For training I'm using an own (very small) dataset of objects that are not in ...
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6 views

How to interpret average precision in an object detection model

I already know how it is calculated or what metric they used to come up with the average precision (AP) score. What i would specifically want to know is how to interpret the result. For example if my ...
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0answers
24 views

Extracting the feature map in Tensorflow Object Detection API

I would like to know how can I extract the feature map of a mobilenet trained on tensorflow object detection API. I want to take that feature map in order to feed another classifier. Thanks!
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0answers
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Is it beneficial to train 1 object detector for N classes vs N object detectors each for a different class?

I always wondered if training an object detector to recognize (let's say), dogs and cats performs better or worse than training 2 object detectors, one for cats only and one for dogs only. Would this ...
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128 views

Odd Loss Curves for Object Detection Task

I'm re-training a Single Shot Detector (specifically the ssdlite_mobilenet_v2_coco from the TensorFlow model zoo) to detect some new images. I have about 15k images in the training set and about 4k in ...
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26 views

openCV tracking algorith & Haar Cascades

(long question sorry) This script below will utilize my windows 10 laptop webcam detect faces with haar cascades and calculate the centroid of what ever is captured. Besides OpenCV I also use the ...
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0answers
6 views

How to count objects in ChainerCV

I want to know how to count objects in object detection using ChainerCV. I want to clarify if we need to work with vis_bbox for counting and if yes how to use it to count. Do I have to write count ...
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1answer
44 views

mean average precision - pseudo code

There are many blog posts and threads concerning the computation of mAP, both for PASCAL and for COCO. Still, they do not answer some fundamental questions. I am listing here the flow as I understand ...
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14 views

Using single cell image to train model to detect and recognize multi cell image; different size of target cell in training and test set

I have a dataset containing images, each image has a single cell along with some smaller inconsequential cells in the background. Can this dataset be used to train a model to detect and recognize ...
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1answer
47 views

Mask RCNN: Random predictions during inference for the same image

I recently trained the Mask RCNN (matterport's implementation) on some satellite images, but during inference mode, I'm getting random predictions for the same set of weights for the same image. That ...
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0answers
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Keras - How to using Cnn trained model on video image.?

I have trained Cat and dog image using CNN with Python ( total 10K, 8K for training and 2K for testing ). I want to make prediction in a video. Video Contain both cat and dog at a single moment. How ...
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34 views

How is Stochastic Gradient Descent done in Faster RCNN?

In Tenosrflow Object Detection API, you can choose different pretrained models such as Faster RCNN, SSD. Then you can specify the batch size during training. I know that for Stochastic Gradient ...
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0answers
17 views

How much CuDnn has impact on DNN performance in object detection?

I am not sure if I am in the right place to ask this question. But I am really confused. I am using JetsonTX1 for running DNN model(Yolov3) for real-time object detection. When the CuDNN option is ...
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0answers
32 views

Fluctuating Learning rate in tensorboard

I am trying to train an faster rcnn for object detection. While I am trying to fine-tune the object detection network I am seeing my learning rate is fluctuating even though I didn't change it. The ...
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0answers
32 views

Using tensorflow object detection in another model

I am trying to use Tensorflow (tf) object detection API models in another custom model I built. Specifically, I am trying to do: jointly train tf object detection models Y with another model X. in a ...
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2answers
54 views

Tattoo Image Recognition - Should I Crop Training Data Background

I am trying to train a neural network to detect objects within a tattoo. I couldn't find any existing labeled dataset so I need to manually create and label my own. I only understand the basics of ...
2
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1answer
76 views

Very slow convergence with CNN [closed]

I am new to deep learning. I am working on training an SSD model on a set of small objects. I am using Adam gradient descent for optimization and a large input (800x800), but I seem to only get an ...
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1answer
106 views

How to increase accuracy of model from tensorflow model zoo?

Situation: My dataset is 70k images of people wearing clothes. Images are labeled: bbox position and class. There are 10 classes. I did 80:20 split. Categories are balanced with exception of one ...
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1answer
54 views

The mix of leaky Relu at the first layers of CNN along with conventional Relu for object detection

First of all, I know the usage of leaky RELUs and some other relevant leaky activation functions as well. However I have seen in a lot of papers on object detection tasks (e.g YOLO) to use this type ...
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0answers
31 views

Training detector without bounding box data

From what I can see most object detection NNs (Fast(er) R-CNN, YOLO etc) are trained on data including bounding boxes indicating where in the picture the objects are localized. Is there any model ...
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1answer
12 views

How to obtain and load a good initial data set for object localization?

I'm looking for a good data set for training a CNN based network to do object localization (i.e. a data set with class labels and bounding box data). What is a good initial data set to use? How can ...
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1answer
14 views

How to train object detection system for 2 classes having two seperate datasets for each class?

I have dataset of class A and a dataset of class B. However dataset A does not contain annotated class B and vice-versa. Is there a way to somehow train object detection system like SSD to detect ...
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0answers
17 views

Does anyone have suggestions for how Goodfellow et al detected digits from the larger Street View images in their 2014 paper?

In their 2014 paper titled, "Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks", they write, We use an automated method (beyond the scope of this ...
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1answer
63 views

Get bounding boxes for adjacent instances of a single class in image

I have a dataset with thousands of music score pages and manually annotated bounding boxes for the individual bars: My objective is now to train a DNN that should ultimately be able to get these ...
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1answer
216 views

Bounding Boxes in YOLO Model

The YOLO model splits the image into smaller boxes and each box is responsible for predicting 5 bounding boxes. My question is how does the model make these bounding boxes for every grid cell ? Does ...
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1answer
252 views

Tensorflow: Unable to Save checkpoint after every 2 global steps during training the SSD model object detection

python models/object_detection/train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_inception_v2_coco.config INFO:tensorflow:Restoring parameters from /home/rahul/...
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0answers
224 views

SSD based on ResNet-101 doesn't improve over SSD-VGGNet

I am training a SSD model for detecting mobile cranes. The training dataset contains 1000 images and test set over 400 images. About 200 epochs gave mAP 83%, but my target is 90%. So I trained SSD-...
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0answers
18 views

What does AR(max=1) mean?

http://cocodataset.org/#detection-eval "ARmax=1: AR given 1 detection per image" "AR is the maximum recall given a fixed number of detections per image, averaged over categories and IoUs." Above link,...
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0answers
36 views

Add training data to YOLO post-training

I've been playing around with YOLOv3 and obtaining some good results on the ~20 custom classes I trained. However, one or two classes look like they can use some additional training data (not a lot, ...
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1answer
200 views

What is difference between intersection over union (IoU) and intersection over bounding box (IoBB)?

Can someone give a detailed explanation IoU and IoBB along with that the differences between them.
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0answers
45 views

Training a convoltion neural network for localization

I am new into convolutional neural networks and I am trying to build a cnn for localization of object on tensorflow. Currently I am trying to replicate a cnn similar to that of Alexnet and then want ...
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2answers
122 views

Do you apply confidence threshold before calculating mAP for YOLOv2?

I've been using YOLO v2 for object detection and have been trying to use mAP for validating the model. For training I use a confidence threshold of 0.25, however I am unsure as to whether to apply ...
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0answers
42 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 ...
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0answers
18 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
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1answer
76 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 ...
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1answer
27 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 ...
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1answer
905 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 ...
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1answer
522 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 ...
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1answer
88 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 ...
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33 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 ...
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0answers
250 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 ...
2
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1answer
736 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 ...