Op

OpenCV based multi-object-tracker with various object detection models

Hacker News

OpenCV based multi-object-tracker with various object detection models

Share card

Actual performance

105points
21comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, models, open · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
41%41% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

mu
multi-object-tracker27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

multi-object-tracker

Hacker News1
I,
I, Object Demystifying the Ruby Object Ancestry37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I, Object Demystifying the Ruby Object Ancestry

Hacker News2
Ob
Object.freeze() for Go39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Object.freeze() for Go

Hacker News1
Ha
Harris–Object Oriented Redux48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Harris–Object Oriented Redux

Hacker News3
Ds
Dson.go – Doge Serialized Object Notation in Go42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dson.go – Doge Serialized Object Notation in Go

Hacker News1
Ds
Dson.go – Doge Serialized Object Notation in Go42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dson.go – Doge Serialized Object Notation in Go

Hacker News2
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

Hacker News35
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

Hacker News3
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

Hacker News2
Ob
Object Detection in an Hour53%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 an Hour

Hacker News166