datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
potter-plant-identificationBaseball-Identification
baseball-detection-2 > 2023-06-02 3:09pm
https://universe.roboflow.com/pitchtracking/baseball-detection-2
Provided by a Roboflow user
License: CC BY 4.0
baseball-detection-2 - v4 2023-06-02 3:09pm
This dataset was exported via roboflow.com on April 20, 2024 at 4:56 PM GMT
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annotate… See the full description on the dataset page: https://huggingface.co/datasets/Jensen-holm/Baseball-Identification.Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform
Person Detection and Re-Identification from Low Altitude UAV-based Platform
Dataset Description
This dataset was collected as part of a master's thesis on person detection and re-identification using low-altitude UAV (drone) footage. It contains labeled aerial images captured from a DJI Mini drone, annotated in YOLOv8 format.
The dataset supports two tasks:
Person Detection — detecting people in aerial drone footage
Person Re-Identification (Re-ID) — recognizing and… See the full description on the dataset page: https://huggingface.co/datasets/Mikiee/Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform.face-re-identification-image-dataset
Dataset of face images with different angles and head positions
Dataset contains 23,110 individuals, each contributing 28 images featuring various angles and head positions, diverse backgrounds, and attributes, along with 1 ID photo. In total, the dataset comprises over 670,000 images in formats such as JPG and PNG. It is designed to advance face recognition and facial recognition research, focusing on person re-identification and recognition systems.
By utilizing this dataset… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/face-re-identification-image-dataset.urban-fire-identification
Description
Simplification of Disaster_Classification_Dataset.
Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform
Person Detection and Re-Identification from Low Altitude UAV-based Platform
Dataset Description
This dataset was collected as part of a master's thesis on person detection and re-identification using low-altitude UAV (drone) footage. It contains labeled aerial images captured from a DJI Mini drone, annotated in YOLOv8 format.
The dataset supports two tasks:
Person Detection — detecting people in aerial drone footage
Person Re-Identification (Re-ID) — recognizing… See the full description on the dataset page: https://huggingface.co/datasets/yuotub/Person_Detection_and_Re-Identification_from_Low_Altitude_UAV-based_platform.wood-species-identificationvehicle-re-identification-dataautotrain-data-face_de-identification
AutoTrain Dataset for project: face_de-identification
Dataset Description
This dataset has been automatically processed by AutoTrain for project face_de-identification.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<250x250 RGB PIL image>",
"target": 6
},
{
"image": "<256x256 RGB PIL image>",
"target": 3
}]… See the full description on the dataset page: https://huggingface.co/datasets/sinword/autotrain-data-face_de-identification.safety_risk_identificationidentification-in-footballFootball player datasets, labeled by name. Made for facial identification experiments.
the images were taken from the web, they are all CC protected, so the license has been maintained
sign_identification
Dataset Card for Dataset Name
This dataset is designed for binary image classification of stop signs. It contains two splits: 'original' with 35 images and 'augmented' with 385 images. The augmented split was created by applying various image transformations to the original images to increase the dataset size and diversity for model training.
Dataset Details
Dataset Description
This dataset contains images of signs with binary labels (class_0 == image has… See the full description on the dataset page: https://huggingface.co/datasets/ecopus/sign_identification.meteorite-identification