Casia v2 dataset download

Casia v2 dataset download. pdf. from publication: Deep Learning-Based Digital Image Forgery Detection System | The advancements of technology in Jan 18, 2023 · The sensitivity and specificity of the proposed model over CASIA 1. Besides the video files, we still provide human silhouettes extracted from video files. 6 June 2023 Added new MOBIUS as Available. 0-2. The dataset contains 494,414 face images of 10,575 real identities collected from the web. V2 dataset. For landmark detection, each face image in the database is manually labeled with 68 facial keypoints. 9382 is achieved and compared with similar state-of-the-art methods, demonstrating the superiority of the proposed framework. Dong, et. 1 CASIA-Iris-Interval. May 18, 2022 · The proposed model is trained on the CASIA v2. 9601 and 0. These values are less than those obtained from CASIA v2. The images in this dataset are more challenging and comprehensive as it takes into account post-processing such as blurring or filtering on the distorted image. the ablation models and CAMU-Net are tested on the CASIA V2 dataset (Dong et al. 0 dataset from publication: Comparative performance study of classification Jul 1, 2024 · Here is a preview of the sample dataset: Download the Sample Workbook. This is technically a single impression dataset, but since every finger is present twice as rolled and flat impression, the dataset can be considered a pairset. These two techniques are essential kinds of tampering employed by the forgers generally, which makes this Aug 31, 2020 · Introduction Iris is considered one of the most accurate and reliable biometric modality. 3% and 99. Apr 3, 2021 · Our model is trained on CASIA v2. Apr 1, 2021 · 1. 95. 3% in detecting forgery on the CASIA 2. This is the link to the website: Add this topic to your repo To associate your repository with the casia-dataset topic, visit your repo's landing page and select "manage topics. 0 in the below table due to the difference in dataset size. 0 dataset some of the fake images were altered by applying copy-move forgery while others were tampered using image splicing. [10] evaluated his method for splicing detection with both the datasets CASIA v1. 0 dataset and found that the images of the CASIA v2. Jan 1, 2015 · The CASIA V2. Casia V1+ is a modification of the Casia V1 dataset proposed by Chen et al. 0, and 94. Demographic attributes and facial expressions of the subjects are also carefully recorded. 3 August 2022 Added new CASIA-Iris-Degradation-V1. ’s algorithm. (a) and (b) are from the IITD dataset; (c) and (d) are from the CASIA-Iris-Interval dataset; (e) and (f) are from the UBIRIS. The distribution of templates in (either online or offline) datasets DB1. Download scientific diagram | Comparison of accuracy (%) on CASIA v1 and CASIA v2 datasets from publication: Fusion of Handcrafted and Deep Features for Forgery Detection in Digital Images 包含了两种篡改：copy-move和splice，具体的数据集指标说明见此篇：《Casia image tampering detection evaluation database》 论文地址： V1. in CASIA Image Tampering Detection Evaluation Database. It contains 4795 images, 1701 authentic and 3274 forged. 0+V2. Nevertheless, CASIA 2. Compared to isolated characters datasets, the handwritten text dataset OLHWDB2. 1 Dataset description Please cite the following papers in your publications if it helps your research: @article{zhang2020casia, title={Casia-surf: A large-scale multi-modal benchmark for face anti-spoofing}, author={Zhang, Shifeng and Liu, Ajian and Wan, Jun and Liang, Yanyan and Guo, Guodong and Escalera, Sergio and Escalante, Hugo Jair and Li, Stan Z}, journal={IEEE Transactions on Biometrics, Behavior, and Download Open Datasets on 1000s of Projects + Share Projects on One Platform. 0 is a dataset for Image Tampering Detection Evaluation, which was published by Jing Dong et al in 2013. png" format, with respect to the original sample. 0 dataset and tested the trained networks on the CASIA v1. CASIA Iris Image Database Version 4. , RGB, Depth and . Note that, the first 8 datasets (e. 0 dataset. 0 images Jan 13, 2024 · Several CNNs are tested in combination with the proposed framework on a composite dataset of images from the proposed dataset and the CASIA v2. The extra import of CASIA-B* owes to the background subtraction algorithm that CASIA-B uses for generating the silhouette data tends to produce much noise and is outdated for real-world applications nowadays. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. In order to receive copy of CASIA V2. Download scientific diagram | Performance comparison of the selected classifier with other methods using the CASIA v2. Table 1 shows the The CASIA V2. Feb 8, 2023 · 10 July 2023 Added new CASIA-Iris-Africa as Available. In contrast, images in the CASIA v2. 0 [32], CASIA v2. Contribute to namtpham/casia1groundtruth development by creating an account on GitHub. 0 dataset, 99. 8 February 2023 Added new AFHIRIS (Version 1) as Available. 7%, respectively. 0, 96. 9913, 0. 93% when tested with the CASIA V2. CASIA’s Image Tampering Detection Evaluation Database (2013) [32] focuses on splicing and tampering. 9547 and 0. 0 dataset, and its performance is tested on the CASIA v1. May 20, 2020 · Throughout a number of experiments, we examine and differentiate the impacts of several important AlexNet design choices. This method is evaluated on six standard datasets: CASIA v1. al, CASIA image tampering detection evaluation database, ChinaSIP2013), which contains images from eight The UBIRIS. We also apply k-fold cross-validation on datasets to divide them into training and test data samples. CASIA-IrisV4. We have chosen CASIA v2. 0 dataset because the images in CASIA v 2. May 6, 2023 · The extracted features are used for classification by the DNN model. 0 Image Tampering Detection Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 1 Dataset and evaluation metrics. NEWS: Dataset B* (CASIA-B*) is a re-segmented version of CASIA-B processed by Liang et al. FINGERPRINT. Multi-Spectral 15961 1. Groundtruth images of tampering dataset CASIA 1. . 0, and Columbia color. COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images. 0做测试。但仅是 blocks both in authentic and forged images in the CASIA v2. Jul 13, 2020 · CASIA-IrisV4 is an extension of CASIA-IrisV3 and contains six subsets. 0 database was released later and contains 2,400 images collected from 60 eyes. Table 3 consists of performance metrics values for Casia v2. Download full-text PDF. 9. Publicly available datasets of human iris images play a major role in research into iris recognition. , near-infrared imaging) and meet the requirements of the widespread and de facto standard recognition method introduced by John Daugman [1]. 0 dataset is made up of 7492 original images and 5124 altered images of different formats. May 17, 2022 · The modified CASIA dataset is created for research topics like: perceptual image hash, image tampering detection, user-device physical unclonable function and so on. The dataset includes CASIA v1. Because the three data sets were collected in different times, only CASIA-Iris-Interval and CASIA-Iris-Lamp have a small overlap in subjects. 0 is considered to be more comprehensive and challenging than the CASIA 1. obtain the target copy by thresholding the difference between the manipulated image and its original. How I can download CASIA v 2. See full list on github. We chose CASIA v 2. 0 Dataset from publication: Image forgery detection using Deep Neural Network | Due to the availability of deep networks, progress has been Explore and run machine learning code with Kaggle Notebooks | Using data from casia dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. However, these datasets are employed for the detection of image splicing. CASIA Iris Image Database Version 2. CASIA v2. CASIA Iris Image Database CASIA-B is a large multiview gait database, which is created in January 2005. 0, post-processing was applied to the tampered images to enhance the tampering effect. Although an iris pattern is naturally an ideal identifier, the development of a high-performance iris recognition algorithm and transferring it from laboratory to field Explore and run machine learning code with Kaggle Notebooks | Using data from casia dataset Image Forgery Detection --2 | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Download scientific diagram | Difference between CASIA_v1 and CASIA_v2 datasets. Databases for Download. Copy link Link copied. The proposed model achieved an accuracy of 98. (90%) samples of masks for the CASIA-WebFace data set. 0 dataset, we first converted all tif images into jpg format and then split the dataset to 90: 5: 5 training, validation and test set. Jan 1, 2023 · Download full-text PDF An integrodifferential operator is used to create labeled images for CASIA v1. Context 1 experiments have been completed over three benchmark datasets, namely: CASIA v1. The images were captured under unconstrained conditions (at-a-distance, on-the-move and on the visible wavelength), with realistic noise factors. 7200 images are encompassed in authentic images and 5123 tampered images are consisted in tampered set. Thanks. 9510 and 0. 0 is considered as a very standard and versatile dataset for image splicing detection, that consists of numerous examples of copy-move forgery and image splicing. This copy-move forgery detection (CMFD) dataset is made upon the original CASIA-Tide-V2 dataset by. 0 respectively. 1) For all the UBIPr samples, we now provide their segmentation masks (delimiting the "skin", "eyebrows", "sclera" and "iris"), given as a gray scale mask with the same name and ". They have also experimen- ted with the mixed collection of both types of forged images taken from CASIA v1. e. 0 dataset contains fewer samples. The best model accuracy of 0. Here, ResNet-50 gives poor results but again proposed CNN gives good results with a specificity of 0 Jan 2, 2024 · A new benchmark was obtained by selecting distorted versions of these original images from CASIA V2 instead of CASIA v1 or CASIA v2 . 0, CASIA V1. Images from authentic and tampered subsets are divided into training/development/test sets with the same ratio. Introduction. 0做迁移，V1. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. CASIA v1. , 2013). py: CASIA Multi-Spectral Palmprint Image Database 1. Download citation. 0 dataset to evaluate the performance of Lin et al. 0-1. Unlike the above, our dataset includes the following manipulations: copy–move, cut Sep 8, 2017 · using the CASIA v2. Almost all subjects are Chinese except a few in CASIA-Iris-Interval. In this article, a novel identification of composite splicing and copy-paste manipulation is achieved concurrently on the forgery detection standard datasets Extended IMD2020, CASIA v1. 19% for CASIA v1. Apr 21, 2024 · CASIA V2 - CASIA V2 comprises 12,333 images and with the same 2 subsets which include tampered set and an authentic set. 10 July 2023 Added new CASIA-Iris-LFLD as Available. The EP dataset contains ground truth data of: Casia Iris v4 Interval Database (2639 iris images) IIT Delhi Iris Database version 1. 9634, 0. There are also a few custom datasets available such as Modified CASIA, AbhAS, which are also employed for the detection of image splicing forgeries. Tokyo Olympic Sample Data. Specifically, it consists of $1,000$ subjects with $21,000$ videos and each sample has $3$ modalities (i. v2 iris dataset contains 11,102 iris images from 261 subjects with 10 images each subject. Figure 3 shows examples of the images from the image Casia V1 is a dataset for forgery classification. 0, IMD, COVERAGE, and Columbia datasets. With its rich annotations, the OpenForensics dataset has great potentials for research in both deepfake prevention and general human face detection. 0 dataset contain some statistical artifacts which can help the detection process. CASIA v2 image dataset [26] is used to evaluate the proposed method, which is widely used to detect image forgery and is publicly available. Source: Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing Sep 1, 2020 · In all documents and papers that report experimental results based on this database, our efforts in constructing the database should be acknowledged such as “Portions of the research in this paper use the CASIA-Iris-Complex-V1. There are 124 subjects, and the gait data was captured from 11 views. Read full-text. Two datasets were used in this experiment: CASIA v 1. com Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. 0 Dec 1, 2020 · The results achieved 98% detection rate for CASIA-V1 dataset and 97% for CASIA-V2 dataset. 0 dataset because CASIA v1. 0: No: JPEG, TIFF: Splicing, copy move, removal CASIA-MFSD is a dataset for face anti-spoofing. Only, for the CG-1050 v2 dataset, the validation value is distant from the training one. 9825 on the IITD dataset, and 0. Mar 16, 2024 · Splicing and copy-paste are popular means of blind digital image manipulation. FRGCv2, BU3-DFE, Bosphorus, Texes FRD, BU4DFE, CASIA, UMB DB, 3D-TEC, ND-2006 and LS3D-W) are most often used as training and validation data for deep learning-based 3D face recognition approaches. Further, classification is performed using a shallow neural network, and the method is tested on CASIA v1 and CASIA v2 datasets. Aug 28, 2019 · To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and modalities. 0 dataset consists of 7492 authentic images and 5124 tampered images of various lossy and lossless formats. 0 contains 800 authentic images and 921 spliced color images in JPEG format, with a size of 384*256 pixels, and CASIA v2. Images sizes (width, height) vary from 240 × 160 to 900 × 600. Dec 2, 2022 · In the second place, the proposed CNN also gives somewhat results. The detailed information about Dataset B and an These datasets except CASIA-Iris-Thousand were all acquired in unconstrained environments, and CASIA-IrisThousand dataset contains rich noise such as illumination variation and spectacle occlusion Jan 25, 2023 · CASIA focuses on splicing and copy-move. Download scientific diagram | Examples of CASIA Dataset A, Dataset B and Dataset C from publication: Gait recognition based on Gabor wavelets and (2D)2PCA | Gait recognition is one of the most Jul 23, 2022 · More specifically we chose the CASIA v2. Dec 1, 2023 · In the second step, the Prewitt edge detection algorithm is applied to the Cr channel of splicing images to detect forgery images. Three variations, namely view angle, clothing and carrying condition changes, are separately considered. The accuracy of the proposed fusion-based approach is 99. The CASIA v1. Learn more. Could you give the website to download the dataset or tell me how to download it. To confirm this, they first used the CASIA v2. 2 has missing training writer of template V2-T9, and the HWDB2. Download scientific diagram | CASIA V2. 0 has a missing test writer of template V2-T3. 0 dataset following the current state of the art, as CASIA v2. 0, DVMM, and NIST Nimble Challenge 2017 datasets. Three different spoof attacks are designed: replay, warp print and cut print attacks. 9781 on the CASIA-Iris-Mobile dataset, 0. 0 for our experiments, which contains 1,828 splicing images and 3,235 Copy-move images. Multi-spectral cameras are utilized to capture the face images under various illumination settings. 0, CASIA v1. 0 about 5,123 tampered images. 217% detection rate for CASIA-V1 dataset and 92. Most of the available datasets share a substantial number of properties (e. Iris images of CASIA-Iris-Interval were captured with our self-developed close-up iris camera (Fig. 0 dataset “Chinese Academy of Sciences, Institute of Automation” which is a publicly available dataset for Download scientific diagram | Data distribution in dataset CASIA v2. 2 is shown in Table V, and DB2. The experiments are conducted on three image databases, namely, CASIA v1. Flexible Data Ingestion. 0 dataset, and 100% in detecting forgery on the CUISDE dataset. 0 dataset for copy–move and cut–paste manipulations. 0 . " Jan 1, 2019 · In addition, in the second dataset CASIA v2. 0 must be downloaded first. Nov 11, 2021 · We evaluated the performance of our technique with the CASIA_v1 and CASIA_v2 datasets. The total number of images is 12614 of which 7491 are authentic colored images and 5123 are forged colored images in various kinds of formats that include JPEG, BMP, and TIFF. 0 database (J. that replaces authentic images that also exist in Casiav2 with images from the COREL dataset to avoid data contamination. The most compelling feature of our iris camera is that we have designed a circular NIR LED array, with suitable luminous flux for iris imaging. 0 contains 7,491 Datasets; Member; Contact; Light Dark Automatic. All the image were saved in JPEG format. The three subsets from CASIA-IrisV3 are CASIA-Iris-Interval, CASIA-Iris-Lamp, and CASIA-Iris-Twins respectively. 0 [32], and CUISDE [33]. Jan 1, 2020 · Alahmadi et al. Twenty images per eye were collected using two different sensors, the in-house sensor and the OKI Iris Pass system. v2 2. Size: 888 subjects x 10 fingers x 2 impressions; Impression type: plain, rolled, 4-finger; Format: PNG, 500/1000/2000dpi; License: simple confidentiality rules; Download: via request page Aug 28, 2023 · The PA, MIOU and F1 scores are 0. 0 dataset samples, the first and second rows have authentic images, whereas the third row has spliced images from publication: Image Splicing Detection Using Sep 28, 2021 · A few datasets are available for image splicing, such as Columbia, Carvalho, and CASIA V1. Download full-text. Recently, we collect a natural color image An Asian Face Dataset and How Race Influences Face Recognition_V2. The proposed model achieved an accuracy of 99. 0 (2240 iris images) Explore and run machine learning code with Kaggle Notebooks | Using data from CASIA 2. 0 about 921 tampered images and CASIA v2. the second largest Asian face dataset CASIA-FaceV5 merely includes 2500 images by 500 OpenForensics is a large-scale dataset posing a high level of challenges that is designed with face-wise rich annotations explicitly for face forgery detection and segmentation. 0 database? I need CASIA-Iris V4 dataset for reimplementation of a paper as my final project. However, this dataset is lack of the groundtruth images comparing to other Image Tampering Detection Datasets. CASIA Fingerprint Image Database 5. Request full-text. Iris is more stable and distinctive compared with fingerprint, face, voice, etc, and difficult to be replicated for spoof attacks. An image under supervision is taken first, and texture-based Orientation Invariant Local Binary Pattern (OILBP Mar 20, 2021 · It should be noted that, for the datasets of CASIA v1, MICC-F2000 and CG-1050 v1, F1 scores are very close to each other for training and validation, and close to 1; while for CASIA v2 and CMFD, the values are higher than 0. 0, and CASIA v2. 0篡改图片应该是9k张左右，由于两个版本数据集样本数量差距还蛮大的，很多论文在模型评测时使用V2. This For the CASIA v2. Li et al. 9 September 2021 Added new UFPR-Periocular Dataset - V1 as Available A support vector machine is used for classification purpose. Download scientific diagram | A Near-infrared iris image, CASIA [4] dataset from publication: An Investigation of Quality Aspects of Noisy Colour Images for Iris Recognition | The UBIRIS. 0 and v2. 0 has 800 authentic and 921 spliced 384×256 images. Also, since the CASIA V 2. Mar 20, 2021 · Download full-text PDF Read full-text. with CASIA v1 and CASIA v2 datasets, obtaining an accuracy of 98. MICC-F2000, and CASIA-v2 databases Mar 28, 2019 · Hi @zzzkk2009 I want to download the casia-surf dataset. 17% for Columbia dataset. Contexts in source publication. 0, CASIA 2. 0, and CUISDE datasets are determined. The ground truth images are taken from the CASIA image tampering detection evaluation (ITDE) v1. CASIA 2. We have trained the DNN using CASIA v1 and CASIA v2 datasets separately and tested them. The experimental results show that the accuracy rate of the proposed method are 94. 0%, 73. Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models - timesler/facenet-pytorch Mar 29, 2021 · 29-03-2021: The UBIRIS data have been updated! We are releasing two novel versions of the original data. Jul 1, 2013 · Download citation. Sep 19, 2018 · Each dataset contains the original reference, a short description, year published and download URL. Context in source publication. Sep 11, 2020 · 4. Experimental results show that, with the help of the multi-scale guided learning strategy and self-attention mechanisms, the proposed model can locate the tampered area more effectively than the Download the CASIA-Iris-Thousand dataset from this link CASIA-Iris-Thousand. 0 dataset contains 1721 color images of a fixed size 384 × 256, of which 800 are original and 921 are tampered. I is the mask images, II is the real images, III is the incomplete images, and IV is the repaired images. Feb 1, 2020 · Most of the tampered image datasets available for benchmarking are focused on only one or two types of tampering [2], for example, the IMD and the MICC-F600 for copy-move operation, or the CASIA v2. CASIA-Iris-Complex. It contains 50 subjects, and 12 videos for each subject under different resolutions and light conditions. Healthcare Insurance Sample Data in Excel. The standard image dataset CASIA v2 was used to evaluate the proposed Jul 10, 2013 · Image forensics has now raised the anxiety of justice as increasing cases of abusing tampered images in newspapers and court for evidence are reported recently. Download scientific diagram | Result analysis of proposed method on CASIA v2. Change your directory names that contain the dataset to the name in the python and notebook files in these lines: In iris_extreaction_2. Fingerprint 62838 5. Introduced by Jing Dong et al. CNN, where an image undergoes double compression tampering attacks; the model attains an accuracy of 92% using the CASIA v2 dataset. With the goal of verifying image content authenticity, passive-blind image tampering detection is called for. 0 dataset from publication: A technique for image splicing detection using hybrid feature set | Image manipulation has COVERAGE contains copymove forged (CMFD) images and their originals with similar but genuine objects (SGOs). V2 datasets. 0 collected by the Chinese Academy of Sciences’ Institute of Automation (CASIA)”. The six data sets were collected or synthesized at different times and CASIA-Iris-Interval, CASIA-Iris-Lamp, CASIA-Iris-Distance, CASIA-Iris-Thousand may have a small inter-subset overlap in subjects. In COVERAGE, forged–original pairs are annotated with (i) the duplicated and forged region masks, and (ii) the tampering factor/similarity Dataset name mask Image Format Post-processing Forgery types Real/Forged Images Train/Test Images Download Paper Year; CASIA v1. 0 as Available. 0, CASIA v2. Experimentation results on standard datasets, namely CASIA v1 and CASIA v2, reveal the efficiency of the approach proposed by us. More realistic open benchmark databases are also needed to assist the techniques. 4% and 82. A CASIA-B* is a re-segmented version of CASIA-B processed by Liang et al. It provides the binary GT mask of the tampered image and the corresponding tampered regions. 3% on Mar 20, 2021 · It should be noted that, for the datasets of CASIA v1, MICC-F2000 and CG-1050 v1, F1 scores are very close to each other for training and validation, and close to 1; while for CASIA v2 and CMFD, the values are higher than 0. 0, Columbia Uncompressed, and DSO-1 datasets. It should be noted that edge detection plays a significant role in locating forgery regions. 2 have the same partitioning. To download this dataset, plase Mar 19, 2024 · CASIA v2. xlsx. The database contains 600 video recordings, in which 240 videos of 20 subjects are used for training and 360 videos of 30 subjects for testing. g. 0 dataset Casia Iris v3 Interval Database (2655 iris images) MobBIO Database, iris train dataset (800 iris images) The EP dataset has been generated by the University of Salzburg, and it can be obtained here. CASIA-FASD is a small face anti-spoofing dataset containing 50 subjects. The images used in the experiments are from the dataset CASIA v2. select copy-move samples only. is a sub set of CASIA Iris v3. [11] presented a forgery detecting approach using Markov in quaternion DCT (QDCT) domain. But I don't know how to download it. Apr 1, 2024 · The restoration effects of TT-GAN on the IITD, CASIA-Iris-Interval, and UBIRIS. 6% for CASIA, COVERAGE and NIST16 datasets, respectively, and the F1 scores are 56. 0 CASIA-B is a large multiview gait database, which is created in January 2005. 0. 0 from publication: Image splicing detection technique based on Illumination-Reflectance model and LBP | A Copy-create digital Download scientific diagram | Images from the CASIA V2. 3. 61% for CASIA v2. 9840, 0. All The CASIA-WebFace dataset is used for face verification and face identification tasks. 3% accuracy for the fine-tuned model using transfer learning and 81% accuracy without transfer learning with the CASIA_v2 dataset. The three new subsets are CASIA-Iris-Distance, CASIA-Iris-Thousand, and CASIA-Iris-Syn. 0 are tampered in two ways. 1% in detecting forgery on the CASIA 1. 38% for CASIA-V2 dataset. 0, and PolyU Iris image datasets. 1). CASIA V2. Dec 14, 2010 · Some statistics and features of each subset are summarized in Table 1. 04% CalPhotos [31], and a color image dataset with 183 authentic uncompressed color block images and 180 spliced uncompressed color block images. The proposed networks model is applied on CASIA v2. 9960 on the UBIRIS dataset, 0. is applied to decompose the input image into a number of sub-images with different frequency bands. In CASIA v2. Since the CASIA_v2 dataset is more comprehensive compared to the CASIA_v1 dataset, we obtained 99. CASIA Iris Image Database Version 3. CASIA-Face-Africa is a face image database which contains 38,546 images of 1,183 African subjects. CASIA V2 is a dataset for forgery classification. 0, GRIP, CASIA v2. 0,ColumbiaUncompressed[16],Carvalho[11],andtheDARPA/NISTNim- bleChallenge2016Science(SCI)datasets 1 . The results achieved 95. jxvakwq iiw exnlukk svfqie tzwkur gnaoz qlhti zrlx irfjyw fhusu