Fashion Type Classification for E-Commerce using Semantic Segmentation
MUHAMMAD FARHAN AUDIANTO
Informasi Umum
Kode
23.04.807
Klasifikasi
C -
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Image Processing
Dilihat
203 kali
Informasi Lainnya
Abstraksi
<p>The Internet has become a big thing nowadays. The current growth of infrastructure allows more people to reach the Internet. The Internet has dramatically influenced the e-commerce market. E-commerce has grown significantly, and many new e-commerce sites, including Instagram with their Instagram Shopping, have started appearing. In Instagram Shopping, there is no label for the product, which is essential in e-commerce. This project is about labeling the fashion image using semantic segmentation. The method that was used is U-Net. In this project, we trained the model with 2 different epochs, 10 and 50. The mean IoU on 10 epoch model is 0.044, and 50 epoch model, is 0.092. Moreover, the weighted F1-Score on 10 epoch model is 0.760 and 50 epoch model 0.819. Subsequently, the label output result was filtered with a pixel-count threshold to reduce the noisy label on the output.</p>
Koleksi & Sirkulasi
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Pengarang
| Nama | MUHAMMAD FARHAN AUDIANTO |
| Jenis | Perorangan |
| Penyunting | Ema Rachmawati, Mahmud Dwi Sulistyo |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
