BiT-M R50x3 ImageNet-21k
BiT-M R50x3 ImageNet-21k is Google's image to text model. A Big Transfer (BiT-M) image classification model using a ResNet-50x3 backbone trained on ImageNet-21k, designed for transfer learning across diverse visual tasks.
google-bit-m-r50x3-imagenet21k-classification |
| Image to Text |
| Active |
| Google |
| Image |
| Text |
Capabilities
Input1/5
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β
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Output1/5
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Capabilities0/13
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Versions
| Version | Released | Context | Input / 1M | Output / 1M | Status |
|---|---|---|---|---|---|
| BiT-M R50x3 ImageNet-21k | β | β | β | β | Current |
| BiT-M Classification | β | β | β | β | Available |
| BiT-M Feature Vector | β | β | β | β | Available |
| BiT-M R50x3 | β | β | β | β | Available |
| BiT-M R50x3 ImageNet-21k | β | β | β | β | Available |
| BiT-S R101x1 | β | β | β | β | Available |
| BiT-S R101x1 Feature Vector | β | β | β | β | Available |
| BiT-S R101x3 | β | β | β | β | Available |
| BiT-S R101x3 Feature Vector | β | β | β | β | Available |
| BiT-S R152x4 | β | β | β | β | Available |
| BiT-S R50x1 | β | β | β | β | Available |