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iNAT

Benchmarks

Task NameDataset NameSOTA ResultTrend
Object DetectioniNatLoc
mAP5064.8
36
Few-shot classificationtiered-meta-iNat fine-grained
Accuracy76.87
36
Few-shot classificationmeta-iNat fine-grained
Accuracy91.84
36
Few-shot classificationtiered meta-iNat (test)
Accuracy92.4
34
Few-shot classificationmeta-iNat (test)
Accuracy96.3
34
Long-tailed Image ClassificationiNat (val test)
Overall Accuracy80.2
17
Species ClassificationiNat-Plantae (test)
Macro Recall (Overall)83.21
13
Image RecognitioniNAT 18
Accuracy84.5
11
Text-to-image retrievaliNat image 2024 (val)
Amphi Accuracy71.35
10
Hierarchical Image RetrievaliNat full
H-AP47.9
10
Hierarchical Image RetrievaliNat base
H-AP54.3
10
Image RetrievaliNat-M
AR@175.85
10
Taxonomic ClassificationiNat Plant 21
HCA63.04
9
Taxonomic ClassificationiNat Animal 21
HCA43.73
9
Image ClassificationiNat 10-shot 18
Accuracy76.5
9
Image ClassificationiNat 5-shot 18
Accuracy63.5
9
Image ClassificationiNat 1-shot 18
Accuracy22.5
9
Image classificationiNat 2021
Top-1 Acc85.7
9
Genus ClassificationiNat-Plantae (test)
Macro Recall (Head 10)96.53
6
Probabilistic Visual GeolocationiNat21 (test)
NLL-4
6
Visual GeolocationiNat21 (test)
Distance Error (km)2,500
6
Long-tail recognitioniNat 2019
Accuracy83.8
4
Image ClassificationiNAT 256 x 256 2021 (test)
Top-1 Accuracy33.23
4
Open-set taxonomic classificationiNat Animal 2021 (test)
HCA1,527
3
Image VerificationiNat
Recall@FAR=1e-3 (Approx)40.49
2
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