QCReport
Predict the quality of every image in any dataset
QCReport was created as a method for removing undiagnosable images in medical datasets. However, from there, it evolved into a system of data quality management for any domain.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
35%35% predicted probability of success on BetaList, based on ML models trained on real launch data.
27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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