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2026-05-06 20:35:33 +02:00
parent 233bd41e1f
commit 3f50b98a8f
4 changed files with 7 additions and 7 deletions
+2 -4
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@@ -96,7 +96,7 @@ function Bird_CNN() {
<div className='request-box'>
<div ref={scrollRefUploadButton} className='input-box'>
<div className='button-div'>
<input disabled={loading} ref={fileInputRef} type="file" id='fileUpload' accept="image/jpeg" onChange={handleImage} style={{ display: "none" }} />
<input disabled={loading} ref={fileInputRef} type="file" id='fileUpload' accept="image" onChange={handleImage} style={{ display: "none" }} />
<label htmlFor="fileUpload" className="custom-button">
Select Image
</label>
@@ -140,9 +140,7 @@ function Bird_CNN() {
<div className='explanation-box right'>
<h3>Model Architecture</h3>
<div style={{ display: "inline" }}>
<span>The model used for classification is a convolutional neural network (CNN) based on depthwise separable convolutions, as introduced in the </span>
<a href='https://arxiv.org/pdf/1610.02357' target='_blank' rel='noopener noreferrer'>Xception: Deep Learning with Depthwise Separable Convolutions</a>
<span> paper by François Chollet. The model uses who knows how many layers, a dropout and multiple batchnormalsation.</span>
<span>The model used for classification is a convolutional neural network. The model uses who knows how many layers, a dropout and multiple batchnormalsation.</span>
</div>
</div>
</div>