model-extraction
filter-extraction-modelextraction_model_loraSACBenchmark-train.vgg_model.CIFAR10.base-adv_label_extraction.mobilenet_v2.17SACBenchmark-train.vgg_model.CIFAR10.base-probit_extraction.vgg13.2SACBenchmark-train.vgg_model.CIFAR10.base-adv_label_extraction.mobilenet_v2.19SACBenchmark-train.vgg_model.CIFAR10.base-probit_extraction.densenet121.12SACBenchmark-train.vgg_model.CIFAR10.base-label_extraction.mobilenet_v2.17SACBenchmark-train.vgg_model.CIFAR10.base-adv_label_extraction.resnet18.5
furniture-model-extraction
Furniture Model Number Extraction Dataset
This dataset contains furniture inventory images with corresponding model numbers for training vision-language models to extract product model numbers from furniture store photos.
Dataset Description
Created: 2025-09-24T12:26:54.209816
Task: Vision-Language Model Training for Model Number Extraction
Base Model: IBM Granite Vision 3.2 2B
Domain: Furniture Inventory Management
Dataset Statistics
Training Samples: 219… See the full description on the dataset page: https://huggingface.co/datasets/wynnwatson/furniture-model-extraction.defendable-pain-model-extraction-pain-v0.1
Pain Receipt · Model Extraction Pain · v0.1 Watchlist
"To the shed. Honest about the gaps." — Mr. Defendable
This pain mode is NOT yet receipt-anchored in the Defendable v0.1 corpus. Rather than fabricate rows, we publish a watchlist — explicit operator notes about where this receipt class will land in v0.2.
Part of the SwarmandBee 100-pack. All 100 are free · CC-BY-4.0 · all honest about what they are and aren't.
Why a watchlist instead of fabricated rows
No proof… See the full description on the dataset page: https://huggingface.co/datasets/SwarmandBee/defendable-pain-model-extraction-pain-v0.1.jaredjoss__pythia-410m-roberta-lr_8e7-kl_01-steps_12000-rlhf-modelAspects_Extraction_Model_updated