Downloads · 30 days
0
unidepth-v2-vitl14-rsrd-pothole
10ge6/unidepth-v2-vitl14-rsrd-pothole
unidepth-v2-vitl14-rsrd-pothole is a depth estimation model from 10ge6. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. It is set up for UniDepth. The card lists the license as cc-by-nc-4.0.
Finetuned from lpiccinelli/unidepth-v2-vitl14 on the RSRD dataset for metric depth estimation of road surface depressions.
Access
Public
Updated Jun 16, 2026
Repo size
8.3 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.pth4.2 GB · 100%
At a glance
- Task
- Depth Estimation
- Library
- UniDepth
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- Jun 16, 2026
- SHA
- e9c06943
Base models
Datasets
Model card
From the Hugging Face model README
UniDepth V2 ViT-L/14 — Finetuned on RSRD for Pothole Depth
Finetuned from lpiccinelli/unidepth-v2-vitl14 on the RSRD dataset for metric depth estimation of road surface depressions.
Usage
from unidepth.models import UniDepthV2
import torch
model = UniDepthV2.from_pretrained("lpiccinelli/unidepth-v2-vitl14")
ckpt = torch.load("unidepth-v2-vitl14-rsrd-pothole.pth", map_location="cpu")
model.load_state_dict(ckpt["model"], strict=False)
Training
- Dataset: RSRD-dense (~2,800 samples)
- Hardware: NVIDIA A100 80GB
- Steps: 5,000
- Base model: UniDepth V2 ViT-L/14
License
CC BY-NC 4.0 (same as base model)
Citation
RAIA Fellowship — USP / UFBA
- Task
- Depth Estimation
- Library
- UniDepth
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Apr 5, 2026
- Updated
- Jun 16, 2026