Model: apple/aimv2-3B-patch14-336
Author: apple
Pipeline: image-feature-extraction
Library: transformers
Tags: transformers, jax, safetensors, aimv2_vision_model, image-feature-extraction, vision, mlx, pytorch, custom_code, arxiv:2411.14402, license:apple-amlr, model-index, endpoints_compatible, region:us
Card metadata: library_name: transformers
license: apple-amlr
metrics: accuracy
pipeline_tag: image-feature-extraction
tags: vision, image-feature-extraction, mlx, pytorch
model-index: name: aimv2-3B-patch14-336
results: task: type: classification
name: Classification
dataset: name: imagenet-1k
type: imagenet-1k
metrics: type: accuracy
value: 89.2
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: inaturalist-18
type: inaturalist-18
metrics: type: accuracy
value: 84.4
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: cifar10
type: cifar10
metrics: type: accuracy
value: 99.5
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: cifar100
type: cifar100
metrics: type: accuracy
value: 94.4
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: food101
type: food101
metrics: type: accuracy
value: 97.2
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: dtd
type: dtd
metrics: type: accuracy
value: 89.3
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: oxford-pets
type: oxford-pets
metrics: type: accuracy
value: 97.2
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: stanford-cars
type: stanford-cars
metrics: type: accuracy
value: 96.6
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: camelyon17
type: camelyon17
metrics: type: accuracy
value: 93.2
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: patch-camelyon
type: patch-camelyon
metrics: type: accuracy
value: 89.3
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: rxrx1
type: rxrx1
metrics: type: accuracy
value: 8.8
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: eurosat
type: eurosat
metrics: type: accuracy
value: 99
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: fmow
type: fmow
metrics: type: accuracy
value: 65.7
name: Accuracy
verified: no, task: type: classification
name: Classification
dataset: name: domainnet-infographic
type: domainnet-infographic
metrics: type: accuracy
value: 74
name: Accuracy
verified: no
Likes: 4 | All-time downloads: 838
Created: 2024-10-29 15:37:02