Journal des citations pour l'incident 61
Entités
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Classifications de taxonomie CSETv0
Détails de la taxonomieFull Description
On the data science competition website Kaggle, a number of competitors in the “The Nature Conservancy Fisheries Monitoring” competition overfit their image classifier models to a poorly representative validation data set. This resulted in intermediate competition rankings that were misleading and discouraged other data scientists from competing. Outside of the competition environment it would not have been clear that this error had taken place.
Short Description
In the “The Nature Conservancy Fisheries Monitoring” competition on the data science competition website Kaggle, a number of competitors overfit their image classifier models to a poorly representative validation data set.
Severity
Negligible
Harm Distribution Basis
Religion
AI System Description
Image classifer models designed by individual competitors on Kaggle.
System Developer
Individual Kaggle Competitors
Sector of Deployment
Public administration and defence
Relevant AI functions
Perception
AI Techniques
supervised learning, machine learning, DNN, VGG, open-source
AI Applications
Feature detection, Image classification, Decision support
Location
Global
Named Entities
Kaggle, The Nature Conservancy
Technology Purveyor
Kaggle Competitors
Beginning Date
2016-11-14T08:00:00.000Z
Ending Date
2017-04-12T07:00:00.000Z
Near Miss
Near miss
Intent
Accident
Lives Lost
No
Data Inputs
Images captured on fishing boats
Rapports d'incidents
Chronologie du rapport
- Afficher le rapport d'origine à sa source
- Voir le rapport sur l'Archive d'Internet
Ce que j'ai appris du concours de pêche de Kaggle
Gidi Shperber Bloqué Débloquer Suivre Suivant 1 mai 2017
TLDR :
Mon partenaire Kaggle et moi avons récemment participé au concours Kaggle "The Nature Conservancy Fisheries Monitoring" (ci-ap…
Variantes
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