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Questions tagged [object-detection]

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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
9 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
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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
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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
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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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Trainig the PNET chain in MTCNN

I am trying to implement the MTCNN as explain in this paper: https://kpzhang93.github.io/MTCNN_face_detection_alignment/index.html I cannot fully understand the training of the cnn chains. Do we also ...
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1answer
24 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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29 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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what if the bounding box exceed the image after regression for RCNN

We know that the RCNN will use the regression to adjust the position and size of the proposal region, my question is that if this regression will guarantee that the final region is located in the ...
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1answer
27 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
26 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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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 ...
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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 ...
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1answer
62 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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51 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
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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 ...
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1answer
775 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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0answers
184 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
52 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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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
117 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 ...
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1answer
297 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 ...
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1answer
87 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 , ...
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0answers
28 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 ...
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0answers
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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 ...
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0answers
330 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 ...
3
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1answer
631 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 ...
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1answer
49 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
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1answer
78 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 ...
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5answers
788 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 ...
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2answers
95 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 ...
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0answers
150 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 ...
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0answers
775 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 ...
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0answers
27 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 ...
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0answers
351 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 ...
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2answers
751 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
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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 ...