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Open-weight model · Image segmentation
by Mateusz Dziemian mattmdjaga/segformer_b2_clothes
SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation. The dataset on hugging face is called "mattmdjaga/humanparsingdataset".
What it takes to serve segformer_b2_clothes (27M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.
SegFormer model fine-tuned on ATR dataset for clothes segmentation but can also be used for human segmentation. The dataset on hugging face is called "mattmdjaga/humanparsingdataset". Labels: 0: "Background", 1: "Hat", 2: "Hair", 3: "Sunglasses", 4: "Upper-clothes", 5: "Skirt", 6: "Pants", 7: "Dress", 8: "Belt", 9: "Left-shoe", 10: "Right-shoe", 11: "Face", 12: "Left-leg", 13: "Right-leg", 14: "Left-arm", 15: "Right-arm", 16: "Bag", 17: "Scarf" The license for this model can be found here.
Excerpt from the card by Mateusz Dziemian, licensed other.
17 files, 548.5 MB in total. The weights are 7 files totalling 548.2 MB in bin, onnx, pt, pth, safetensors.
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 109.5 MB | 8f86fd90c567 |
| onnx/model.onnx | Weights | 110.0 MB | a93a8dac171b |
| optimizer.pt | Weights | 219.1 MB | 4f642f5c29cb |
| pytorch_model.bin | Weights | 109.6 MB | 934543143c97 |
| rng_state.pth | Weights | 14.6 KB | a7c38376dfee |
| scheduler.pt | Weights | 627 B | 7a9a297dec0f |
| training_args.bin | Weights | 3.3 KB | 210f58c34439 |
| config.json | Configuration | 1.7 KB | — |
| handler.py | Configuration | 1.5 KB | — |
| mattmdjaga_segformer_b2_clothes.json | Configuration | 4.9 KB | — |
| onnx/config.json | Configuration | 1.7 KB | — |
| onnx/preprocessor_config.json | Configuration | 431 B | — |
| preprocessor_config.json | Configuration | 271 B | — |
| trainer_state.json | Configuration | 291.3 KB | — |
| README.md | Documentation | 4.4 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
| .gitignore | Repository | 29 B | — |
Released by Mateusz Dziemian through its official repository on Hugging Face.
| Precision | Weights in memory |
|---|---|
| As published | 548.2 MB |
| 16-bit | 0.1 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (27M parameters) plus a working margin. A long context needs more.
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
other, as its publisher declares it. Read the license text before commercial use.
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