By organism › Green plants › Asteraceae › Erigeron annuus

Method / resourceobservedoriginal resultpositivebasis n/a

Claim · model-written summary

The Fleabane dataset provides 400 floral images of the two species.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: floral imagese0
Value: 400 floral imagese0

Verbatim

e0
“We compiled “Fleabane”, a publicly available dataset comprising 400 floral images of the two species”
✓ located verbatim in the source · abstract, characters 372–472

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50 0.977.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Inception V3 image classification achieved precision 0.913.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: precisione0
Value: 0.913e0

Verbatim

e0
“For image classification using Inception V3, our model achieved a precision of 0.913, a recall of 0.978, an accuracy of 0.921, a F1 score of 0.938, and an AUC of 0.987.”
✓ located verbatim in the source · abstract, characters 651–819

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50 0.977.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Inception V3 image classification achieved recall 0.978.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: recalle0
Value: 0.978e0

Verbatim

e0
“For image classification using Inception V3, our model achieved a precision of 0.913, a recall of 0.978, an accuracy of 0.921, a F1 score of 0.938, and an AUC of 0.987.”
✓ located verbatim in the source · abstract, characters 651–819

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50 0.977.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Inception V3 image classification achieved accuracy 0.921.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: accuracye0
Value: 0.921e0

Verbatim

e0
“For image classification using Inception V3, our model achieved a precision of 0.913, a recall of 0.978, an accuracy of 0.921, a F1 score of 0.938, and an AUC of 0.987.”
✓ located verbatim in the source · abstract, characters 651–819

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50 0.977.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Inception V3 image classification achieved F1 score 0.938.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: F1 scoree0
Value: 0.938e0

Verbatim

e0
“For image classification using Inception V3, our model achieved a precision of 0.913, a recall of 0.978, an accuracy of 0.921, a F1 score of 0.938, and an AUC of 0.987.”
✓ located verbatim in the source · abstract, characters 651–819

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50 0.977.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Inception V3 image classification achieved AUC 0.987.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: AUCe0
Value: 0.987e0

Verbatim

e0
“For image classification using Inception V3, our model achieved a precision of 0.913, a recall of 0.978, an accuracy of 0.921, a F1 score of 0.938, and an AUC of 0.987.”
✓ located verbatim in the source · abstract, characters 651–819

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource YOLOv8 object detection attained mAP50 0.977.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

YOLOv8 object detection attained mAP50 0.977.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: mAP50e0
Value: 0.977e0

Verbatim

e0
“For object detection with YOLOv8, it attained an mAP50 of 0.977 and an mAP50−95 of 0.675.”
✓ located verbatim in the source · abstract, characters 820–909

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50−95 0.675.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

YOLOv8 object detection attained mAP50−95 0.675.

Taxon: Erigeron annuus and Erigeron philadelphicusErigeron philadelphicusErigeron annuuse1
Outcome: mAP50−95e0
Value: 0.675e0

Verbatim

e0
“For object detection with YOLOv8, it attained an mAP50 of 0.977 and an mAP50−95 of 0.675.”
✓ located verbatim in the source · abstract, characters 820–909

e1
“Erigeron annuus and Erigeron philadelphicus”
✓ located verbatim in the source · abstract, characters 11–54

Title

Exploring deep learning and data requirements through image classification of Erigeron annuus and Erigeron philadelphicus

Hiroshi Yamanaka; Kohji Okamura BMC Research Notes 2026. doi:10.1186/s13104-026-07719-4

Other claims from this paper (7)

Method / resource The Fleabane dataset provides 400 floral images of the two species.
Method / resource Inception V3 image classification achieved precision 0.913.
Method / resource Inception V3 image classification achieved recall 0.978.
Method / resource Inception V3 image classification achieved accuracy 0.921.
Method / resource Inception V3 image classification achieved F1 score 0.938.
Method / resource Inception V3 image classification achieved AUC 0.987.
Method / resource YOLOv8 object detection attained mAP50 0.977.

Associationobservedoriginal resultmeasured

Claim · model-written summary

The ethyl acetate fraction of Erigeron annuus leaves had the highest extraction rate (22.42%).

Taxon: Erigeron annuusErigeron annuust0
Organ / stage: leavese1
Treatment: ethyl acetate fractione1
Outcome: extraction ratee1
Direction: higheste1
Value: 22.42%e1

Verbatim

t0
“Erigeron annuus (L.) Pers.”
✓ located verbatim in the source · title, characters 136–162

e1
“The ethyl acetate fraction of Erigeron annuus leaves exhibited the highest extraction rate (22.42%)”
✓ located verbatim in the source · abstract, characters 138–237

Title

Investigation Into the Impact of Solvents on the Phytochemical Composition, Antioxidant Capacities, and Antihyperglycemic Activities of Erigeron annuus (L.) Pers.

Mehak Thakur; Rachna Verma; Dinesh Kumar; et al. BioMed Research International 2025. doi:10.1155/bmri/6650124

Other claims from this paper (10)

Associationobservedoriginal resultpositivesignificant (as stated)measured

Claim · model-written summary

The ethyl acetate fraction had significantly higher total phenolic content (70.01 ± 1.1 mg/g).

Taxon: Erigeron annuusErigeron annuust0
Treatment: ethyl acetate fractione1
Outcome: total phenolic contente1
Direction: highere1
Value: 70.01 ± 1.1 mg/ge1

Verbatim

t0
“Erigeron annuus (L.) Pers.”
✓ located verbatim in the source · title, characters 136–162

e1
“the ethyl acetate fraction showed significantly ( p < 0.05) higher total phenolic content (70.01 ± 1.1 mg/g) and total flavonoid content (80.29 ± 1.03 mg/g)”
✓ located verbatim in the source · abstract, characters 811–967

Title

Investigation Into the Impact of Solvents on the Phytochemical Composition, Antioxidant Capacities, and Antihyperglycemic Activities of Erigeron annuus (L.) Pers.

Mehak Thakur; Rachna Verma; Dinesh Kumar; et al. BioMed Research International 2025. doi:10.1155/bmri/6650124

Other claims from this paper (10)

Erigeron annuus 389 claims

389 claims