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Azure_D8lds_v5_table.md

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dataset algorithm qps
yfcc-10M parlayivf 37670.703774
(filter track) puck 19153.425169
hwtl_sdu_anns_filter 15188.577106
wm_filter 14076.445534
dhq 13517.047874
fdufilterdiskann 5752.463409
pyanns 5335.916507
faissplus 3625.027286
faiss 3252.682553
cufe 2291.031703
text2image-10M mysteryann 22555.248017
(OOD track) pyanns [1] 22295.584534
mysteryann-dif 22491.577263
sustech-ood 13772.370641
puck 8699.573200
vamana 6753.344080
ngt 6373.934425
epsearch 5876.982706
diskann 4132.829728
cufe 3561.416286
sparse-full pyanns [1] 6499.652881
(sparse track) shnsw 5078.449772
NLE-Full 1314.194166
nle 1312.961060
sustech-whu [2] 788.168885
cufe 97.860465
linscan 95.098871

[1] The entry was from an author affiliated with Zilliz, a company involved in the organizing team. The conflict was not disclosed by the author, and was discovered post evaluation. [2] Build time exceeded 12 hours

Table lists highest QPS measured with at least 90% recall@10. Private queries were used for yfcc-10M and sparse-full and public queries for text2image-10M.