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Sponsored by
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zeromodels / depth_anything_base
Model's Last Updated: August 27 2026
depth-estimation
Introduction of depth_anything_base
Model Details of depth_anything_base
See our collection for all versions of Depth Anything V1.
Run Depth Anything V1 with Keras 3: JAX, PyTorch, or TensorFlow
kerasformers/depth_anything_base
Paper: Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data (arXiv:2401.10891) · HF Papers
Depth Anything estimates depth from a single image. A DINOv2 ViT backbone feeds a DPT-style neck and head. V1 outputs relative inverse depth (larger means closer; units are arbitrary within one image).
For more details on the model, please go to the upstream model card .
Pure-
Keras 3
conversion of
LiheYoung/depth-anything-base-hf
for
kerasformers
. One implementation runs unmodified on
TensorFlow / Torch / JAX
.
This is a
monocular depth
checkpoint (
DepthAnythingV1DepthEstimation
) with relative inverse depth.
✨ Quick start
import os
os.environ["KERAS_BACKEND"] = "torch" # or "jax" / "tensorflow"
from PIL import Image
from kerasformers.models.depth_anything_v1 import DepthAnythingV1DepthEstimation, DepthAnythingV1ImageProcessor
model = DepthAnythingV1DepthEstimation.from_weights("kerasformers/depth_anything_base")
processor = DepthAnythingV1ImageProcessor.from_weights("kerasformers/depth_anything_base")
image = Image.open("your_image.jpg").convert("RGB")
output = model(processor(image)["pixel_values"], training=False)
depth = processor.post_process_depth_estimation(
output, original_size=(image.height, image.width)
)
print(depth.shape)
Load any Depth Anything V1 variant the same way with
from_weights("kerasformers/<variant>")
:
| Variant | Hub | Backbone |
|---|---|---|
depth_anything_small
|
kerasformers/depth_anything_small
|
ViT-S/14 |
depth_anything_base
|
kerasformers/depth_anything_base
|
ViT-B/14 |
depth_anything_large
|
kerasformers/depth_anything_large
|
ViT-L/14 |
Tips
-
Set
KERAS_BACKENDbefore importing Keras / kerasformers. - For metric (metre) depth, use Depth Anything V2 metric heads.
- See Depth Anything V1 docs and Loading Weights .
-
Community / upstream weights:
DepthAnythingV1DepthEstimation.from_weights("hf:LiheYoung/depth-anything-base-hf").
Special Thanks
A huge thank you to the Depth Anything authors for creating and releasing these models.
License: Apache 2.0.
Runs of zeromodels depth_anything_base on huggingface.co
47
Total runs
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More Information About depth_anything_base huggingface.co Model
Url of depth_anything_base
depth_anything_base huggingface.co Url
Provider of depth_anything_base huggingface.co
Other API from zeromodels
Updated:August 27 2026
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