Ob
Actual performance
166points
34comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →62%62% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Us
Using object detection to turn a webcam into a lightgun65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using object detection to turn a webcam into a lightgun
Ob
Object Detection for Complex Classification Scenarios41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection for Complex Classification Scenarios
I
I Tried to Do Realtime Object Detection in Google Colab63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Tried to Do Realtime Object Detection in Google Colab
Ob
Object Detection in 50ms on a CPU54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection in 50ms on a CPU
Ru
Rush Hour53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rush Hour
1-
1-hour TechCrunch Disrupt Timelines Experiment47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
1-hour TechCrunch Disrupt Timelines Experiment
Machine Learning55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection
YO
YOLOv3 – Pruning and Quantizing to Improve Object Detection Performance50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YOLOv3 – Pruning and Quantizing to Improve Object Detection Performance
A
A New Free Object Detection Coronavirus Face Masks Dataset45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A New Free Object Detection Coronavirus Face Masks Dataset
LC
LCON – Ludicrously Compact Object Notation50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LCON – Ludicrously Compact Object Notation