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aimv2_1b_patch14_224.apple_pt
[ -2.448845148086548, 0.05204322189092636, -1.4969487190246582, -1.1517987251281738, 0.4463060200214386, -0.3406532406806946, -0.9873619079589844, -0.42003172636032104, -0.16242265701293945, 0.4110245704650879, -0.8253366351127625, 0.3554161787033081, -0.8486176133155823, -0.2369000762701034...
1
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aimv2_1b_patch14_224.apple_pt
[ -1.9824302196502686, -0.21428698301315308, -0.9155676364898682, -1.3715629577636719, 0.250066876411438, -0.16739502549171448, -1.2960636615753174, -0.6187819242477417, -0.4695192873477936, -0.6016571521759033, -0.9894125461578369, 0.33153221011161804, -0.5833168029785156, -0.24332204461097...
2
0
aimv2_1b_patch14_224.apple_pt
[ -1.9207658767700195, -0.5876810550689697, -0.9608853459358215, -1.5774304866790771, 0.728163480758667, -0.33409130573272705, -1.36669921875, -0.919643759727478, -1.1178818941116333, -0.05581950396299362, -1.022603154182434, 0.5747287273406982, -0.3652283847332001, 0.1121814027428627, 0.6...
3
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aimv2_1b_patch14_224.apple_pt
[ -1.2770600318908691, -0.12964129447937012, -1.11724853515625, -0.9962382316589355, 0.7117832899093628, 0.11319504678249359, -1.288498044013977, -0.49718376994132996, -0.8037934899330139, 0.3680230975151062, -1.0332040786743164, 0.31886547803878784, -0.5721690654754639, 0.6333829164505005, ...
4
0
aimv2_1b_patch14_224.apple_pt
[-2.153224229812622,0.1503734290599823,-0.6322091817855835,-1.6473029851913452,0.8608236312866211,-0(...TRUNCATED)
5
0
aimv2_1b_patch14_224.apple_pt
[-0.05074450373649597,0.08582915365695953,-0.07968077808618546,-0.7228051424026489,-0.07941858470439(...TRUNCATED)
6
0
aimv2_1b_patch14_224.apple_pt
[-2.335766315460205,0.03460198640823364,-0.4172512888908386,-2.18892765045166,-0.09150095283985138,-(...TRUNCATED)
7
0
aimv2_1b_patch14_224.apple_pt
[-1.9250750541687012,-0.22917766869068146,-1.0064784288406372,-1.2661406993865967,-0.177570939064025(...TRUNCATED)
8
0
aimv2_1b_patch14_224.apple_pt
[-2.7442307472229004,-0.5041269659996033,-1.764448642730713,-0.6918347477912903,0.11148592829704285,(...TRUNCATED)
9
1
aimv2_1b_patch14_224.apple_pt
[-1.6034631729125977,-0.3289703130722046,1.6830552816390991,0.25905850529670715,0.6481014490127563,0(...TRUNCATED)
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Example Extracted from the semasia-oxford-flowers dataset

This repository hosts some samples of the precomputed embeddings for oxford-flowers across many timm models. Each config corresponds to a single model; only that model's Parquet files are read on load_dataset.

Usage

from datasets import load_dataset

ds_test = load_dataset("spaicom-lab/semasia-example-oxford-flowers", "aimv2_1b_patch14_224.apple_pt", split="test")
ds_train = load_dataset("semasia-spaicom-lab/semasia-example-oxford-flowers", "aimv2_1b_patch14_224.apple_pt", split="train")

Notes

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