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Found 8 papers, 5 papers with code
BOLLWM: A real-world dataset for bollworm pest monitoring from cotton fields in India
This paper presents a dataset of agricultural pest images captured over five years by thousands of small holder farmers and farming extension workers across India.
A Case for Rejection in Low Resource ML Deployment
Building reliable AI decision support systems requires a robust set of data on which to train models; both with respect to quantity and diversity.
Impact of data-splits on generalization: Identifying COVID-19 from cough and context
Using cough and context (symptoms and meta-data) represent such a promising approach.
Multi-class segmentation under severe class imbalance: A case study in roof damage assessment
The task of roof damage classification and segmentation from overhead imagery presents unique challenges.
Cough Against COVID: Evidence of COVID-19 Signature in Cough Sounds
Testing capacity for COVID-19 remains a challenge globally due to the lack of adequate supplies, trained personnel, and sample-processing equipment.
xBD: A Dataset for Assessing Building Damage from Satellite Imagery
xBD is the largest building damage assessment dataset to date, containing 850, 736 building annotations across 45, 362 km\textsuperscript{2} of imagery.
Ranked #5 on
2D Semantic Segmentation
on xBD
FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
In this paper, we share our approach to real-time segmentation of fire perimeter from aerial full-motion infrared video.
From Satellite Imagery to Disaster Insights
The use of satellite imagery has become increasingly popular for disaster monitoring and response.
