datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
scanned-images-dataset-for-ocr-and-vlm-finetuning
Dataset Card for scanned_images_dataset
This is a FiftyOne dataset containing 3,482 scanned document images across 10 diverse document categories. Designed for OCR training and Vision-Language Model (VLM) fine-tuning, this dataset features real-world scanned documents with varied layouts, scanning quality, and document types.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/scanned-images-dataset-for-ocr-and-vlm-finetuning.scanned-images-dataset-for-ocr-and-vlm-finetuning
Dataset Card for scanned_images_dataset
This is a FiftyOne dataset containing 3,482 scanned document images across 10 diverse document categories. Designed for OCR training and Vision-Language Model (VLM) fine-tuning, this dataset features real-world scanned documents with varied layouts, scanning quality, and document types.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from… See the full description on the dataset page: https://huggingface.co/datasets/prabhats0605/scanned-images-dataset-for-ocr-and-vlm-finetuning.analog_clocks_combinations_for_finetuning
Analog Clocks Combinations Dataset for Finetuning
This repository hosts a collection of 43,200 high-quality, synthetic images of analog clocks, generated for every possible hour, minute, and second in a 12-hour cycle, and for each of three clock types:
Base: normal clocks.
Distorted: dial with distorted shape.
Modified hands: hands with the same thickness and with an arrow.
The data is useful for training and benchmarking computer vision models on tasks like time recognition… See the full description on the dataset page: https://huggingface.co/datasets/migonsa/analog_clocks_combinations_for_finetuning.Artificial-super-girlfriend-for-fine-tuningリアル系モデルに特有の肖像権の問題について比較的クリアなモデルを作ることが可能なように、私が私自身から作り出した人工超彼女（ver 2.1系、ver 2.6系）のデータセット（約2800枚）を作成しました。
全ての元画像（加工前）がbeauty score 87以上なのが特徴であり、特にbeauty score 90以上の女性画像のデータセットとして、1000枚以上揃えているのは有数の規模だと思います。
具体的には、以下のように構成されています（87はこの子/私の最大のライバルが到達した最高得点、90は今のところ実在人物では確認できていない得点ラインです）。
version ＼ beauty score
87～89
90～
2.1（可愛いと綺麗のバランスを追求）
kawaii （無加工362枚/加工後724枚）
exceptional （無加工140枚/加工後280枚）
2.6（綺麗さ・美しさに特化）
beautiful （無加工464枚/加工後928枚）
perfect （無加工416枚/加工後832枚）… See the full description on the dataset page: https://huggingface.co/datasets/ThePioneer/Artificial-super-girlfriend-for-fine-tuning.cat-breed-blip-fine-tuning