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FerdiMT/Zindi_Crop_Detection_Satellite_Imagery

Domaine:

agriculturegeospatial

Type de record:

project
Créateur:
Fer
Hôte:
zindi.africa # Zindi_Radiant Earth Computer Vision for Crop Detection from Satellite Imagery Quick models to participate in the computer vision crop recognition challenge by Zindi. zindi.africa #### Changelog: | ID | Version | Comments | Zindi score | Issues/Todo's | | ------ | ----------------------------------- | ------------------------------------------------------------ | ----------- | ------------------------------------------------------------ | | id_1 | ML-Baseline | Baseline | 1.2549 | Some fields in training set might be NA/0, the ones that are less than a pixel. Instea of fillna(0) maybe just remove them. Gridsearch parameters Generate algorithm to detect neighbourhood. | | id_2 | ML-Neighbourhood Algorithm | Added the Neighbourhood Algorithm (own) | 1.2570 | Standardize results from neighbourhood algo (matrix_distances). PCA Check other models Gridsearch parameters | | id_3 | ML-Neighbourhood Algorithm XGB | | 1.2554 | | | id_3.1 | ML- XGB | No neighbourhood algo | 1.2800 | | | id_4 | ML-XGB-Neighbourhood in percentages | Put the results of neighbourhood algorithm in percentages (by rows) | 1.2286 | | | id_4.1 | ML-RandomForest | Same but RF number estimators 500 | 1.2276 | | | i …

Visit

github.com

Tasks

computer visionimage classification