<p>What you describe is known to research community as <strong>Instance-Level Segmentation</strong>. </p>

<p>In last year itself there have been a significant spike in papers addressing this problem.</p>

<p>Here are some of the papers:</p>

<ul>
<li><a href="https://arxiv.org/pdf/1412.7144v4.pdf" rel="noreferrer">https://arxiv.org/pdf/1412.7144v4.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1511.08498v3.pdf" rel="noreferrer">https://arxiv.org/pdf/1511.08498v3.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1607.03222v2.pdf" rel="noreferrer">https://arxiv.org/pdf/1607.03222v2.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1607.04889v2.pdf" rel="noreferrer">https://arxiv.org/pdf/1607.04889v2.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1511.08250v3.pdf" rel="noreferrer">https://arxiv.org/pdf/1511.08250v3.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1611.07709v1.pdf" rel="noreferrer">https://arxiv.org/pdf/1611.07709v1.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1603.07485v2.pdf" rel="noreferrer">https://arxiv.org/pdf/1603.07485v2.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1611.08303v1.pdf" rel="noreferrer">https://arxiv.org/pdf/1611.08303v1.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1611.08991v2.pdf" rel="noreferrer">https://arxiv.org/pdf/1611.08991v2.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1611.06661v2.pdf" rel="noreferrer">https://arxiv.org/pdf/1611.06661v2.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1612.03129v1.pdf" rel="noreferrer">https://arxiv.org/pdf/1612.03129v1.pdf</a></li>
<li><a href="https://arxiv.org/pdf/1605.09410v4.pdf" rel="noreferrer">https://arxiv.org/pdf/1605.09410v4.pdf</a></li>
</ul>

<p>As you see in these papers simple object classification network won't solve the problem. </p>

<p>If you search github you will find a few repositories with basic frameworks, you can build on top of them.</p>

<ul>
<li><a href="https://github.com/daijifeng001/MNC" rel="noreferrer">https://github.com/daijifeng001/MNC</a> (caffe)</li>
<li><a href="https://github.com/bernard24/RIS/blob/master/RIS_infer.ipynb" rel="noreferrer">https://github.com/bernard24/RIS/blob/master/RIS_infer.ipynb</a> (torch)</li>
<li><a href="https://github.com/jr0th/segmentation" rel="noreferrer">https://github.com/jr0th/segmentation</a> (keras, tensorflow)</li>
</ul>
Can inception model be used for object counting in an image?
<p>I have already gone through the image classification part in Inception model, but I require to count the objects in the image. </p>

<p>Considering the flowers data-set, one image can have multiple instances of a flower, so how can I get that count?</p>