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food-depth-senet154
arunapb/food-depth-senet154
food-depth-senet154 is a depth estimation model from arunapb. Use it for the depth estimation task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Trained 8 epochs on every 3. frame, batch 8, AMP. Encoder: timm legacysenet154 (stem pool0 included in Esenet). - modelsenet.pth — final clean statedict (no module. prefix) - checkpointlast.pth — resume checkpoint (mo…
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Updated Jul 12, 2026
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15.7 GB
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.pth2.5 GB · 100%
At a glance
- Task
- Depth Estimation
- License
- mit
- Access
- Public
- Created
- Jul 12, 2026
- Updated
- Jul 12, 2026
- SHA
- 070e2209
Model card
From the Hugging Face model README
SENet-154 monocular depth (Hu et al. 2018 architecture) — NYU-Depth V2
Trained 8 epochs on every 3. frame, batch 8, AMP.
Encoder: timm legacy_senet154 (stem pool0 included in E_senet).
model_senet.pth— final clean state_dict (nomodule.prefix)checkpoint_last.pth— resume checkpoint (model + optimizer + scaler + history)
Load with the matching architecture from the training notebook.
- Task
- Depth Estimation
- License
- mit
- Created
- Jul 12, 2026
- Updated
- Jul 12, 2026