Questions tagged [object-detection]

Object detection is a computer-vision and image-processing technique for locating instances of objects in images or videos. Common applications include face detection and object tracking. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results.

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1answer
1k 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 ...
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1answer
12k 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
61 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 ...
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1answer
268 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
6k 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
352 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
1k 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 ...
2
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0answers
31 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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4answers
4k 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
3k 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 ...

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