Versions
Versions
v2 YOLOv11 Lesion Detector
👤 223 010 503 023 Sa… 🖼 8324 ✓ trained
⛶ 640×640 ⤢ Stretch to 640×640
v1 My HAM10000 v1
👤 223 010 503 023 Sa… 🖼 10012
⛶ 640×640 ⤢ Stretch to 640×640
DATASET VERSION ◫ Object Detection

v2 YOLOv11 Lesion Detector ✎

By 👤 223 010 503 023 Saripah Ainah · exported April 26, 2026 at 9:07 AM GMT
Trained model: YOLOv11 lesion detector
Stage 1 of the ROI-based pipeline: YOLO localises the lesion, and the cropped ROI is classified by EfficientNet-B4 in stage 2. Weights live in Best Model/.
Available Credits: 1
8324 Total Images
View All Images →
Dataset Split
TRAIN SET70%
5848Images
VALID SET20%
1638Images
TEST SET10%
838Images
Preprocessing
Auto-orientation of pixel data (with EXIF-orientation stripping)
Resize to 640x640 (Stretch)
Augmentations
No augmentation techniques were applied.
Classes
lesion
Export formats
Skripsi
Analisis Pemanfaatan Region of Interest (ROI)-Based Learning terhadap Kinerja Model Klasifikasi Lesi Kulit Berbasis Deep Learning pada Citra Dermatoskopi
Saripah Ainah · 223010503023
Teknik Informatika · Universitas Palangka Raya
Source
/var/www/roboflows/data/ham10000_dataset