recognition
DNN_Receipt_RecognitionCollective-Activity-Recognition
Annotation Format
Every 10th frame in all video sequences was manually annotated with the following information for each detected person:
Bounding box location
Activity class
Pose direction
Annotation Fields
Each annotation follows the format:
<frame_number> <x> <y> <width> <height> <class_id> <pose_id>
Field
Description
frame_number
Frame identifier
x
X-coordinate of the bounding box (top-left corner)
y
Y-coordinate of the bounding box (top-left… See the full description on the dataset page: https://huggingface.co/datasets/litforth/Collective-Activity-Recognition.evals-speech-recognition-cy-en
Welsh ASR Model Evaluation Transcription Dataset
This resource compiles the output transcriptions from multiple Welsh Automatic Speech Recognition (ASR) models across several test sets.
The data is structured hierarchically:
Splits delineate the individual test sets.
Configs within each split detail the performance (transcriptions) of a specific ASR model and its version on that set.
Metrics Results
model
test
task
wer
cer… See the full description on the dataset page: https://huggingface.co/datasets/techiaith/evals-speech-recognition-cy-en.Openpdf-Analysis-Recognition
Openpdf-Analysis-Recognition
The Openpdf-Analysis-Recognition dataset is curated for tasks related to image-to-text recognition, particularly for scanned document images and OCR (Optical Character Recognition) use cases. It contains over 6,900 images in a structured imagefolder format suitable for training models on document parsing, PDF image understanding, and layout/text extraction tasks.
Attribute
Value
Task
Image-to-Text
Modality
Image
Format
ImageFolder… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Openpdf-Analysis-Recognition.scenario-recognition-for-display
Screen Scene Recognition Dataset for Display Chip
Dataset Description
This dataset is specifically designed for edge-side AI model development of display chips, targeting real-time recognition of 22 types of screen scenes. It addresses the pain points of missing public datasets, high category similarity, and poor data quality in screen scene recognition tasks, providing high-quality labeled data for algorithm research and engineering deployment.… See the full description on the dataset page: https://huggingface.co/datasets/amazingtrash/scenario-recognition-for-display.synthetic-medical-document-recognition-benchmark
Synthetic Medical Document Recognition Benchmark
This dataset contains synthetic, English-language medical records rendered as
documents for evaluating automated data extraction and de-identification
systems. Each synthetic patient has a longitudinal FHIR R4 record and multiple
visual representations derived from that record.
Every rendered document is clearly marked as synthetic. This makes the dataset
suitable for manual testing, product demonstrations, and workflows that… See the full description on the dataset page: https://huggingface.co/datasets/morzel85/synthetic-medical-document-recognition-benchmark.