ResNet50V2_COVID-19_Radiography

1
license:mit
by
AIOmarRehan
Image Model
OTHER
New
0 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by ResNet50V2_COVID-19_Radiography with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
🔵 6/10
general
multilingual
Key Strengths
  • •Scale and Accessibility: 750GB of publicly available, filtered text
  • •Systematic Filtering: Documented heuristics enable reproducibility
  • •Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • •English-Only: Limits multilingual applications
  • •Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

How to Get Started with the Modelpython
# Terminal commands
# 1) pip install -r requirements.txt
# 2) python -m app.main
# 3) open http://127.0.0.1:7860
Localpython
from PIL import Image
from app.model import predict, gradcam

img = Image.open("sample_xray.png").convert("RGB")
label, confidence, probs = predict(img)
overlay = gradcam(img, interpolant=0.5)

print(label, confidence)
print(probs)

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