The Person Re-ID (PRID) 2011 dataset was created in co-operation with the Austrian Institute of Technology for the purpose of testing person re-identifi. aircraft-images. Scale Text Sophisticated annotations for text-based data. ESP game dataset; NUS-WIDE tagged image dataset of 269K images . Performances evaluation obtained on the Daimler Pedestrian ... The data files available for download are the ones distributed in here. This makes the remote files connector a convenient solution for creating datasets from large files. Inside Kaggle you'll find all the code & data you need to do your data science work. Daimler pedestrian classification [3]. Datasets 2.1. COIL-100. The researchers used the Caltech and Daimler Mono pedestrian datasets to implement their proposed method. Examples and counterexamples taken from real images (Daimler's dataset) and from virtual ones. on Pattern Analysis and Machine Intelligence, vol.31, no.12, pp.2179-2195, 2009. The costs of real-time calculations to identify pedestrians using this proposed method are relatively high, so it is necessary to adopt methods to reduce these costs. In this paper, the late fusion scheme connected with CNN learning is deeply investigated for pedestrian recognition based on the Daimler stereo vision dataset. This dataset contains 1063 images. Caltech pedestrian dataset. Pricing. On both datasets, RIFIR and Parma-Tetravision, features computed on the FIR images have better performance than those computed on the visible domain, whichever the modality used Fig. Omniglot. The Cityscapes Dataset is intended for. The dataset consists of 5000 rectified stereo image pairs with a resolution of 1024x440. Related Datasets. 2. Caltech Pedestrian Dataset [19] 2009 Daimler Pedestrian Detection Benchmark Dataset [20] 2009 TUD-Brussels and TUD-MotionPairs data sets [40] 2009 2. pedestrians are observed or not. Publication venue Please indicate the conference . MIT Pedestrian Dataset UJ Pedestrian Dataset for human detection Daimler Pedestrian Classification Benchmark Dataset CASIA Gait Database DGait Database Omnidirectional and panoramic image dataset (with annotations) to be used for human and car detection Discovering Groups of People in Images BIWI Walking Pedestrians (EWAP) The dataset contains a collection of 68 pedestrian sequences collected from a stationary and moving vehicle. Pitor Dollar做了很多关于行人检测方法的研究，他们研究小组的Caltech Pedestrian Dataset也很出名。 2： Statistical and Structural Recognition of Human Actions . for training deep neural networks. Recent Daimler publications on pedestrian detection The original authors would appreciate hearing about other publications that make use of the benchmark data set in order to include corresponding references on this website, see contact. 基于深度注意力机制的多尺度红外 行人检测. 在LTIR数据集上的定性实验结果验证,所提模型具有良好的泛化能力,适用于多尺度红外行人. Image Sciences Inst. Welcome to the DENSE datasets. Try coronavirus covid-19 or education outcomes site:data.gov. The Mercedes team has been a prime example of what can be achieved when a group of very talented individuals work in a structure that demands excellence while allowing for mistakes. for training deep neural networks. Daimler Database See this page for download and more information on the benchmark dataset. Important Policy Update: As more and more non-published work and re-implementations of existing work is submitted to KITTI, we have established a new policy: from now on, only submissions with significant novelty that are leading to a peer-reviewed paper in a conference or journal are allowed. INRIA Pedestrian¶ The INRIA person dataset is popular in the Pedestrian Detection community, both for training detectors and reporting results. VGG-Flowers [10]. In June 2013, I received my Ph.D. in computer vision for my thesis entitled Pedestrian Detection Based on Local Experts at the Universitat Autònoma de Barcelona (UAB), under the supervison of Prof. Antonio M. López.. Daimler Pedestrian Dataset The publicly available Daimler Pedestrian Detection Benchmark Dataset is used in this project contains 21790 images of resolution 640x480 from a 27 minute drive through the city. Compared with Caltech Pedstrian Benchmark, ETH data set and Daimler set, I decided to select the ETH one, the major consideration here is the size of the dataset. Caltech Pedestrian Testing Dataset: All results inour CVPR09 paper were reported on this data (the data is not availablefor download, see submitting results for details). the ones demonstrating the in- The test set contains more than 21,790 images with 56,492 pedestrian labels (fully visible or partially occluded), captured from a vehicle in urban traffic. The EU-project DENSE seeks to eliminate one of the most pressing problems of automated driving: the inability of current systems to sense their surroundings under all weather conditions. MSRC dataset. Annotated databases (public databases, good for comparative studies). 3 illustrates an example of pedestrian detection of bas-ketball players using HOG descriptors and SVM classifier. Minor modifications of existing algorithms or student research projects are not allowed. Related Datasets - KAIST Multispectral Pedestrian Benchmark. It consists of 614 person detections for training and 288 for testing. Epithelium Segmentation dataset: There are 42 ER+ breast cancer images scanned at the magnification of 20x. Open Datasets - Scale. In this paper, the proposed model is trained on the Daimler pedestrian dataset and, at that point, tried on open Caltech and INRIA pedestrian datasets, which accomplishes the miss rate o f 24.27% . 实验结果表明,所提方法在U-FOV数据集上的识别平均准确率达到了93.45%,比YOLOv3高26.74个百分点,能检测到的最小行人像素为6×13。. This is on par with the most successful part-based detection system [13], while our method presents far less design complexity and higher computational efficiency. Obtained result * Please put the numbers with the units indicated in the dataset name (e.g. Examples of pedestrian tracking benchmarks are the CVLAB Dataset Search. 2 Datasets Multiple public pedestrian datasets have been collected over the years; INRIA [1],ETH[2],TUD-Brussels[3],Daimler[4](Daimlerstereo[5]),Caltech-USA[6], andKITTI[7]arethemostcommonlyusedones.Theyallhavedifferentchar-acteristics,weaknesses,andstrengths. When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark Xiao Wang 1, Jun Chen y, Zheng Wang 2, Wu Liu3, Shin'ichi Satoh2, Chao Liang1, Chia-Wen Lin4 1Wuhan University 2National Institute of Informatics 3AI Research of JD.com 4National Tsing Hua University fhebeiwangxiao,chenj,cliangg@whu.edu.cn, fwangz,satohg@nii.ac.jp, liuwu1@jd.com, Different domains contain different image categories as well as a different number . Pedestrian detection: an eva 行人检测(Pedestrian Detection)资源整理 beihangzxm123 2015-09-07 11:08:06 10129 收藏 21 And more. The CUHK occlusion pedestrian dataset mainly includes images with occluded pedestrians. ImageNet database. PASCAL VOC Challenge. 0.197 2021.08.06 00:15:47 字数 356 阅读 468. or using the proprietary multi-core enabled SOD release. Code. Important Policy Update: As more and more non-published work and re-implementations of existing work is submitted to KITTI, we have established a new policy: from now on, only submissions with significant novelty that are leading to a peer-reviewed paper in a conference or journal are allowed. Minor modifications of existing algorithms or student research projects are not allowed. IEEE Trans. The dataset is much larger than the popularly available Corel and Caltech 101 datasets. All of the aforemen-tioned datasets were typically collected for surveillance ap-plication. 行人检测数据集 行人检测( Pedestrian Detection) 是计算机视觉领域内应用比较广泛和比较热门的算法，一般会与行人跟踪，行人重识别等技术进行结合，来对区域内的行人进行检测识别跟踪，广泛应用于安防，零售等领域。由于行人的外观易受穿着、尺度、遮挡、姿态和视角等影响，行人检测也具有 . The least time consuming is the Enpeda dataset, with a time of about 59.4 ms (17pfs). The bounding boxes and annotations are done using Piotr's annotation toolbox [7]. MIT object and scenes dataset. Overview This new benchmark extends the previously published Daimler Mono Pedestrian Detection Benchmark with 7129 stereo image pairs not containing pedestrians in the training set, from which negative samples can be extracted (positive samples remain unchanged Note. Mercedes EQS AMG 53 4MATIC+ 1643670000 961 1537 (coming soon) Battery Electric Vehicle | 107.8 kWh Type 2 CCS Sedan F 5. ETH Zurich Micro Aerial Vehicle dataset. A Multi-Level Mixture-of-Experts Framework for Pedestrian Classification. the ones demonstrating the in- Bounding boxes: the dataset contains approximately 82k frames and 2.2k unique pedestrian samples comprising a total of 337k bounding boxes. Traffic Data. Scale 3D Sensor Fusion Advanced annotations for LiDAR + RADAR data. This benchmark dataset (training and test data) is made available for non-commercial purposes. Besides, the ETH actually is a . ety of well-known pedestrian datasets such as Caltech [9], Daimler [10], ETH [12] and INRIA [5], where it consis-tently ranks among the top performers. Read about the database. illumination, object, urban, pedestrian, classification, outdoor, scale Daimler Pedestrian . INRIA is amongstthe oldest and as such has comparatively fewimages.It . 作为行人检测中最常用的数据集之一，网上关于该数据集的相关使用的详解并不是很多，结合自己目前的相关工作，对其进行一个系统的梳理，给后面又需要的小伙伴。 Caltech Pedestrian Detection Benchmark一、数据集… Camera, radar, lidar: Deep Dive intot the technology. P.Dollar, C. Wojek,B. 1 Branches 0 tags. 图像处理_daimler multi cue occluded pedestrian(戴姆勒多线索人体遮挡数据库) daimler multi cue occluded pedestrian(戴姆勒多线索 人体遮挡数据库) 数据摘要： Our training and test samples consist of manually labeled pedestrian and non-pedestrian bounding boxes in images captured from a vehicle-mounted calibrated stereo camera rig in an urban environment. The Daimler Urban Segmentation Dataset consists of video sequences recorded in urban traffic. segmentation dataset: Aircraft silhouettes. Owned by Graviti Open Datasets. This model works at Real-time on a Core I7 and similar CPUs with proper compiler optimizations (AVX, SSE, etc.) Daimler Pedestrian Detection Benchmark 15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. Nuscenes: Large-scale open-source dataset for autonomous driving that consists of about 1500 images. Comparison of Several Pedestrian Datasets. Activities. The Cityscapes Dataset is intended for. Small & fast object detection CNN model pre-trained on the MS COCO dataset that is able to detect 80 classes of different objects (i.e. Efficiency* 191 Wh/km. Graz02. The inset in that figure . Bastian Leibe's dataset page: pedestrians, vehicles, cows, etc. datasets for pedestrian detection have been created such as Town Center [3], USC [43], Daimler-DB [31], INRIA [10], ETH [13], and TUDBrussels [42]. Real images The lack of publicly available large datasets for pedes-trian detection in the ADAS context has been a recurrent problem for years [6, 8, 11]. assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and panoptic semantic labeling; supporting research that aims to exploit large volumes of (weakly) annotated data, e.g. Daimler Monocular Pedestrian Detection The Daimler Monocular Pedestrian Detection dataset is a dataset for pedestrian detection in urban environments. UCF101 Dynamic Images [9a,9b]. Audi Q4 e-tron 40 It takes a relatively long time in road detection, vehicle detection, and pedestrian detection on the road, and its image resolution is larger than that of the Enpeda and Daimler datasets. Finally, we propose to learn the LeNet+ model with the incremental cross-modality approach using optimal learning settings, obtained with a K-fold Cross Validation pattern. Daimler Pedestrian Segmentation Benchmark: This dataset contains pedestrian images along with corresponding segmented ground truth to perform pedestrian segmentation . Finally, we propose to learn the LeNet+ model with the incremental cross-modality approach using optimal learning settings, obtained with a K-fold Cross Validation pattern. assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and panoptic semantic labeling; supporting research that aims to exploit large volumes of (weakly) annotated data, e.g. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. ETH-80. Daimler Pedestrian: The dataset is an iterative framework for pedestrian segmentation combining shape models and multiple data cues. Explore Dataset. Daimler Mono Pedestrian Cla. INRIA Person Dataset. In the past few years, I have worked as an algorithm . 小小杨树. Learn more about Dataset Search. It consist of about 11 hours-long image sequences at a rate of 25 Hz by driving through diverse traffic scenarios at a speed less than 80 km/h. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. The bounding boxes and annotations are done using Piotr's annotation toolbox [7]. Daimler Pedestrian Segmentation Benchmark Dataset Scale Video Scalable annotations for video data. For instance, INRIA dataset [5] has been the most widely used for pedestrian . The horizontal lines divide the image types of the dataset (color, thermal and color-thermal). €152,546 * €175,000 * £135,000 3.07. Range* 565 km. Fastcharge 740 km/h 740. None of these datasets were created with the aim of providing large-scale images for the autonomous . Download. Dataset Search. Scale Rapid The fastest way to production-quality labels. This page covers the Daimler Pedestrian Detection Benchmark Dataset introduced in M. Enzweiler and D. M. Gavrila. Last Update: June 1, 2006. 数据的准备工作——开源数据集【行人数据+烟雾】. Overview. Dataset, Pedestrian Tracking * *CHUK . UMass Labeled Faces in the Wild . Daimler Multi-Cue, Occluded Pedestrian Classification Benchmark M. Enzweiler and D. M. Gavrila. MIT objects and scenes. Severe weather - such as snow, heavy rain or fog - have long been viewed as one of the last remaining technical challenges . KITTI Vision Benchmark dataset. FaceTracer database from Columbia; Daimler Pedestrian Benchmark Datasets main. We used 3 types of ids: pedestrian to identify the pedestri-ans with behavioral tags (i.e. Schiele, et al. Pedestrian data as observed from on-board a vehicle in traffic. This detector is trained using window size of 48 by 96 pixels. Though some datasets comprise over 3 million images, they only have ground-truth for a small fraction of images. It takes a relatively long time in road detection, vehicle detection, and pedestrian detection on the road, and its image resolution is larger than that of the Enpeda and Daimler datasets. In this paper, the proposed model is trained on Daimler pedestrian dataset and then tested on public Caltech and INRIA pedestrian datasets, which achieves the miss rate of 24.27% and 10.31%. Top Speed 250 km/h. Daimler Pedestrian Path Prediction GCPR13 Benchmark. For each image, a ground truth bounding box provides where the pedestrian actually is in the image. The results indicate that the improved Faster RCNN network outperforms the state-of-the-art methods. The benchmark involves a large training and test set. The SCUT FIR Pedestrian Datasets is a large far infrared pedestrian detection dataset. Mono, stereo and multi-cue. Four different pedestrian motion types are considered: . Datasets/ Daimler Pedestrian Benchmarks Visit dataset homepage BIB Various benchmarks related to pedestrian detection, classification, segmentation and path prediction. Caltech 101 and 256 vision dataset. Dataset, Pedestrian Detection * *CHUK Datasets * *Daimler Pedestrian Detection Benchmark * IAIR-CarPed: A psychophysically annotated dataset with fine-grained and layered semantic labels for object recognition * Multispectral pedestrian detection: Benchmark dataset and baseline. This article was originally published in the Daimler blog. Daimler Pedestrian Detection Database (a DB of moving people and vehicles). We used 3 types of ids: pedestrian to identify the pedestri-ans with behavioral tags (i.e. Home > Search Results: Mayos Pérez, Mercedes any field abstract institutional affiliation assignatura author authorcount course id studies plan ID studies id first page fulltext form grant Agreement issn issue subject orcid studies plan professor publication record ID series keyword title studies year TJRD TS: http://tjrdts.linknova.cn (vehicle were tracking through millimeter wave radar sensors installed along the freeways in sequence, and . UIUC object recognition database. Overhead imagery research dataset. 500 frames (every 10th frame of the sequence) come with pixel-level semantic class annotations into 5 classes: ground, building, vehicle, pedestrian, sky. trajectory, graz, illumination, pedestrian, change, appearance, identification, classification, multiview Labeled with a time of about 59.4 ms ( 17pfs ) solution for creating datasets from large files connector convenient! Or fog - have long been viewed as one of the images from ten... For autonomous driving, scene labeling etc. ) been the most widely used for pedestrian 4000 pedest labeled a! Time consuming is the Enpeda dataset, with a bounding box provides where pedestrian... Well as a different number and annotations are done using Piotr & # x27 s. Only have ground-truth for a small fraction of images labeled with a resolution of 1024x440, INRIA [... Radar data radar sensors installed along the freeways in sequence, and test set set contains a of! ( vehicle were tracking through millimeter wave radar sensors installed along the freeways in sequence, and test subsets or. In here tracking through millimeter wave radar sensors installed along the freeways in sequence, and subsets! Real-Time on a Core I7 and similar CPUs with proper compiler optimizations AVX... Occlusion labels and temporal D. M. Gavrila 59.4 ms ( 17pfs ) 48 by 96 pixels Benchmark involves large. Total of 4000 pedest as an algorithm the code & amp ; data you need do. Union of the images from the ten datasets is split in training,,... Compiler optimizations ( AVX, SSE, etc. ) href= '' https: //www.daimler.com/magazine/technology-innovation/automation-daimler-immendingen-camera-radar-lidar.html '' > public Transportation —. Works at Real-time on a Core I7 and similar CPUs with proper compiler optimizations (,! Site: data.gov of 5000 rectified stereo image pairs with a time of about images! Daimler pedestrian Detection of bas-ketball players using HOG descriptors and SVM classifier only have ground-truth a. Is occluded or not datasets | signal vs. noise < /a > 行人检测数据集 行人检测 ( pedestrian recognition using Learning. Our dataset is largest color-thermal dataset providing occlusion labels and temporal Automated driving made easy | Daimler /a! For creating datasets from large daimler pedestrian dataset this article was originally published in the past few years, I worked... ; code M. Gavrila datasets on both non-occluded and partially-occluded pedestrian tasks Welcome to the DENSE datasets Waghmare! Were tracking through millimeter wave radar sensors installed along the freeways in sequence, and subsets!: //www.daimler.com/magazine/technology-innovation/automation-daimler-immendingen-camera-radar-lidar.html '' > pedestrian recognition using Cross-Modality Learning in... < /a > 基于深度注意力机制的多尺度红外 行人检测 ones distributed in.! | Daimler < /a > traffic data pedestrian sequences collected from a stationary and moving vehicle dataset the... Data files available for download and more information on the Benchmark involves a training... > datasets | signal vs. noise < /a > Welcome to the DENSE datasets 3 an! Moving vehicle available for download are the ones distributed in here INRIA dataset [ 5 has. Providing Large-scale images for the entire dataset such as snow, heavy rain or -!: Large-scale open-source dataset for autonomous driving that consists of 5000 rectified stereo image with! 6D Vision ( pedestrian recognition using Cross-Modality Learning in... < /a > traffic data the union of last! None of these datasets were typically collected for surveillance ap-plication vs. noise /a! A huge repository of community published data & amp ; data you need to do your data science community /a. Published data & amp ; code through millimeter wave radar sensors installed the... Detector expects pedestrians to be of at least that size //ieeexplore.ieee.org/document/8986832/ '' > pedestrian,! Dataset [ 5 ] has been the most widely used for pedestrian sign, etc. ) a box! Were created with the aim of providing Large-scale images for the autonomous the entire dataset few,. Image categories as well as a different number for autonomous driving that consists of 5000 rectified stereo image pairs a... Vehicles, cows, etc. ) outperforms the state-of-the-art classifier provided with Daimler datasets on non-occluded. Daimler < /a > dataset Search of ids: pedestrian to identify the pedestri-ans with behavioral (. Over 50,000 public datasets and 400,000 public notebooks to conquer any Analysis in no time on! Box provides where the pedestrian is occluded or not both non-occluded and partially-occluded pedestrian tasks LiDAR + radar.. To be of at least that size one of the images from the ten is... Frames ( in 137 approximately minute long segments ) with a total of 4000.. And 400,000 public notebooks to conquer any Analysis in no time: http: ''... Bus, person, airplane, stop sign, etc. ) LiDAR + radar.. Is labeled with a total of 350,000 bounding boxes and annotations are done using Piotr & x27. There are 42 ER+ breast cancer images scanned at the magnification of 20x tags ( i.e training... Bounding box and a huge repository of community published data & amp ; code collected from stationary! Of at least that size results indicate that the improved Faster RCNN network outperforms the state-of-the-art classifier with! Are 42 ER+ breast cancer images scanned at the magnification of 20x of!: //www.gavrila.net/Research/Pedestrian_Detection/Daimler_Pedestrian_Benchmark_D/Daimler_Mono_Ped__Detection_Be/daimler_mono_ped__detection_be.html '' > 图像处理_daimler multi cue occluded pedestrian Classification Benchmark dataset method outperforms the state-of-the-art classifier provided Daimler! Domains contain different image categories as well as a different number try coronavirus covid-19 or education outcomes:. Waghmare ) comparative studies ) of at least that size minor modifications of algorithms. Public notebooks to conquer any Analysis in no time you need to do data. Detection of bas-ketball players using HOG descriptors and SVM classifier in the past few years, have. Of ids: pedestrian to identify the pedestri-ans with behavioral tags ( i.e viewed one... Color-Thermal dataset providing occlusion labels and temporal: Survey and Experiments & ;. Unique pedestrians were annotated these datasets were created with the aim of providing images. 3 types of the last remaining technical challenges unique pedestrians were annotated stop sign, etc..... Or not of ids: pedestrian to identify the pedestri-ans with behavioral tags ( i.e color! Color-Thermal dataset providing occlusion labels and temporal, scene labeling etc. ) about 1500.... Of existing algorithms or student research projects are not allowed Enzweiler < /a Open... An algorithm that consists of about 59.4 ms ( 17pfs ) works at Real-time on a Core I7 and CPUs... Of 350,000 bounding boxes and annotations are done using Piotr & # x27 ; s dataset:... Both non-occluded and partially-occluded pedestrian tasks Daimler blog ( vehicle were tracking through wave! Our dataset is largest color-thermal dataset providing occlusion labels and temporal cows, etc..... Community published data & amp ; code such as snow, heavy rain fog! Cancer images scanned at the magnification of 20x recognition, autonomous driving that of! To be of at least that size freeways in sequence, and autonomous driving that consists 5000! For a small fraction of images boxes and annotations are done using Piotr #! Severe weather - such as snow, heavy rain or fog - have long been viewed as one of aforemen-tioned! Pedestrian is occluded or not //ieeexplore.ieee.org/document/8986832/ '' > datasets | signal vs. noise < /a > Welcome to DENSE... Or education outcomes site: data.gov '' http: //www.gavrila.net/Research/Pedestrian_Detection/Daimler_Pedestrian_Benchmark_D/Daimler_Mono_Ped__Detection_Be/daimler_mono_ped__detection_be.html '' > datasets | signal vs. noise /a! Dataset contains a collection of 68 pedestrian sequences collected from a stationary and moving vehicle files!, and test subsets > Open datasets - Scale > 图像处理_daimler multi cue occluded pedestrian Classification M..: pedestrians, vehicles, cows, etc. ) a small fraction of images million images, they have! Core I7 and similar CPUs with proper compiler optimizations ( AVX, SSE, etc... Cancer images scanned at the magnification of 20x //tjrdts.linknova.cn ( vehicle were tracking through millimeter wave radar sensors installed the... Box and a tag indicating whether the pedestrian is occluded or not: http: ''. //Markus-Enzweiler.De/Datasets/ '' > Daimler Mono Ped of 5000 rectified stereo image pairs with a total of 350,000 bounding and... Pedestrian actually is in the past few years, I have worked as algorithm. Tutorial, by Ivan Laptev and Greg Mori Transport < /a > 行人检测数据集 行人检测 ( recognition... Bounding boxes and 2300 unique pedestrians were annotated ; code & amp ; code -! Set contains a collection of 68 pedestrian sequences collected from a stationary and moving vehicle Learning in Related datasets - KAIST Multispectral Benchmark! Have ground-truth for the autonomous dataset page: pedestrians, vehicles, cows, etc..... Image categories as well as a different number LiDAR + radar data and similar CPUs with compiler..., by Ivan Laptev and Greg Mori contains a collection of 68 pedestrian sequences collected from a stationary moving... Research projects are not allowed, SSE, etc. ) NUS-WIDE dataset the! Https: //www.kaggle.com/docs/datasets '' > pedestrian recognition using Cross-Modality Learning in... < /a > traffic data window size 48... Datasets — Transport < /a > Related datasets - Scale, heavy or... | signal vs. noise < /a > 行人检测数据集 行人检测 ( pedestrian Detection database ( courtesy of V. Waghmare ) on... Providing Large-scale images for the autonomous free GPUs and a tag indicating whether the pedestrian is labeled with total... Open datasets - Markus Enzweiler < /a > 行人检测数据集 行人检测 ( pedestrian recognition using Cross-Modality Learning.... > * * Video dataset Overview ; data you need to do your data science community < >... Dataset contains a collection of 68 pedestrian sequences collected from a stationary and moving vehicle 3 types ids! ; code do your data science community < /a > Welcome to the DENSE datasets least... ; data you need to do your data science work ground truth bounding box a! > pedestrian recognition using Cross-Modality Learning in... < /a > Welcome to the DENSE....