Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/PlaNet (91M)

PlaNet (91M)

Reported on 12 benchmarks across 2 tasks · 1 paper · 10 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Image ClassificationonIm2GPS
City level (25 km)· 2016-02-17
24.5
best: 43 (ISNs (M, f*, S3))
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
Image ClassificationonIm2GPS
Continent level (2500 km)· 2016-02-17
71.3
best: 91.1 (PIGEOTTO)
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
Image ClassificationonIm2GPS
Country level (750 km)· 2016-02-17
53.6
best: 82.3 (PIGEOTTO)
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
Image ClassificationonIm2GPS
Region level (200 km)· 2016-02-17
37.6
best: 63.3 (PIGEOTTO)
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
Image ClassificationonIm2GPS
Street level (1 km)· 2016-02-17
8.4
best: 16.9 (ISNs (M, f*, S3))
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
Image ClassificationonIm2GPS
Reference images
0

Graphs6 results

4K 60FpsonIm2GPS
City level (25 km)· 2016-02-17
24.5
best: 43 (ISNs (M, f*, S3))
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
4K 60FpsonIm2GPS
Continent level (2500 km)· 2016-02-17
71.3
best: 91.1 (PIGEOTTO)
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
4K 60FpsonIm2GPS
Country level (750 km)· 2016-02-17
53.6
best: 82.3 (PIGEOTTO)
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
4K 60FpsonIm2GPS
Region level (200 km)· 2016-02-17
37.6
best: 63.3 (PIGEOTTO)
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
4K 60FpsonIm2GPS
Street level (1 km)· 2016-02-17
8.4
best: 16.9 (ISNs (M, f*, S3))
SOTA
PlaNet - Photo Geolocation with Convolutional Neural Networks arXiv:1602.05314
4K 60FpsonIm2GPS
Reference images
0