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Diagram Arsitektur Jaringan Deteksi Objek
Infografik / Edukasi

Diagram Arsitektur Jaringan Deteksi Objek

Menghasilkan infografis teknis vektor 2D yang menggambarkan alur deteksi deep learning. Ubah nama model atau blok untuk memetakan arsitektur jaringan saraf apa pun.

Prompt

A clean technical architecture diagram explaining [YOLOv13] as a one-page educational slide, showing how an input image flows through Backbone, HyperACE, Neck, FullPAD, and Head detection outputs. Canvas and Style: Wide 16:9 landscape infographic on a pure white background, crisp 2D vector graphic style, thin colored outlines, rounded rectangular modules, directional arrow connectors, and crisp, legible sans-serif typography. Layout: - Left-to-right horizontal pipeline flow with supplementary modules positioned below the main sequence. - Far left: A stacked thumbnail labeled "Input Image (3, H, W)" shown as layered landscape images, connecting via arrow into the Backbone panel. - Upper-left: A large blue-outlined panel titled "Backbone" with subtitle "(built from DS-C3k2 blocks)". Inside are 5 vertically stacked DS-C3k2 boxes labeled B1, B2, B3, B4, B5, with "/2" downsampling markers between adjacent blocks (4 total). B1 and B2 branch right as "B1 (unused)" and "B2 (unused)". B3, B4, and B5 branch right via blue arrows labeled "B3 (C3, H/8, W/8)", "B4 (C4, H/16, W/16)", and "B5 (C5, H/32, W/32)". - Lower-left / center: An orange-outlined module titled "HyperACE" with subtitle "(Hypergraph-based Adaptive Correlation Enhancement) Eq.8-11". Inside is a dashed rounded note box reading "Models cross-scale and cross-position high-order and low-order correlations". Blue feeds from B3, B4, and B5 enter HyperACE. HyperACE outputs an orange arrow to an orange 3D isometric cube labeled "Y" and "Correlation-enhanced feature". - Upper-center: A green-outlined panel titled "Neck" with subtitle "(built from DS-C3k2 blocks)". Contains 6 DS-C3k2 block boxes in a 2-column by 3-row grid with connecting arrows, 2 yellow upsample boxes labeled "↑ 2×", 2 purple downsample boxes labeled "↓ 2×", 3 blue circular input junctions on the left edge, and 3 tunnel markers below. - Lower-center / right: A red-outlined legend module titled "FullPAD" with subtitle "(Full-Pipeline Aggregation-and-Distribution) Eq.12-13". Contains 3 legend rows: "Backbone–Neck tunnel (Backbone-to-Neck connection)" with blue dotted arrows and hollow circles; "In-Neck tunnel (the internal layers of the Neck)" with green dotted arrows and hollow circles; "Neck–Head tunnel (Neck-to-Head connection)" with purple dotted arrows and hollow circles. The cube feature feeds into FullPAD, which routes dotted blue, green, and purple paths to the Neck and Head. - Far right: A purple-outlined panel titled "Head" with subtitle "(Detect x3)". Contains 3 vertically stacked boxes: "Detect (stride 8)", "Detect (stride 16)", and "Detect (stride 32)", outputting rightward as "H3 (scale 1/8)", "H4 (scale 1/16)", and "H5 (scale 1/32)". Bottom Caption Box: A wide rounded banner across the bottom. Line 1: "Classic YOLO is a one-directional Backbone → Neck → Head pipeline." Line 2: "[YOLOv13] adds HyperACE and FullPAD on top of it to enhance feature representation and information flow." Constraints: Perfectly legible text, neat geometric alignment, exact module counts, pastel fills for inner boxes, no extra decorative modules, flat vector rendering.

Yang bisa Anda ubah

Sebelum membuat gambar, ganti bagian prompt ini dengan subjek atau teks Anda sendiri.

  • [YOLOv13]placeholder
  • “Input Image (3, H, W)”teks dalam tanda kutip
  • “Backbone”teks dalam tanda kutip
  • “(built from DS-C3k2 blocks)”teks dalam tanda kutip
  • “/2”teks dalam tanda kutip
  • “B1 (unused)”teks dalam tanda kutip
  • “B2 (unused)”teks dalam tanda kutip
  • “B3 (C3, H/8, W/8)”teks dalam tanda kutip

Detail prompt

Model
GPT IMAGE 2
Biaya per gambar
1K: 43 kredit · 2K: 86 kredit · 4K: 143 kredit
Rasio aspek
16:9
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