Upload 2 files
Browse files- sensedataStats/business_top_500.csv +178 -0
- sensedataStats/public_top_500.csv +275 -0
sensedataStats/business_top_500.csv
ADDED
|
@@ -0,0 +1,178 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_id,uv
|
| 2 |
+
"便利店场景数据采集-批次0923",6
|
| 3 |
+
"YouTube-VOS",5
|
| 4 |
+
"蔚来15人反光场景采集-批次0101",4
|
| 5 |
+
"wholebody-2212-nio-hardcase采集-批次1214",4
|
| 6 |
+
"AIE结构化算法优化专项行人属性数据采集-批次0610",3
|
| 7 |
+
"棕色人种采集IPC和支付设备-批次0419",3
|
| 8 |
+
"高清人像图片数据集采集-批次0630",3
|
| 9 |
+
"沿街晾晒事件发现测试视频",3
|
| 10 |
+
"Kinetics-400",3
|
| 11 |
+
"20210407-landmark_from_peiwen",2
|
| 12 |
+
"【标注任务数据12842】新洲地库freespace",2
|
| 13 |
+
"三菱日产30人危险动作和疲劳数据采集-批次0414",2
|
| 14 |
+
"Something-Something V2",2
|
| 15 |
+
"IDH 3DObject 数据集-批次0630",2
|
| 16 |
+
"20221226-逆光场景视频采集任务-批次0106",2
|
| 17 |
+
"Type3_0315标注",2
|
| 18 |
+
"【SenseLive】篮球数据采集\u0026现场测试-批次1215",2
|
| 19 |
+
"CPP-儿童检测",2
|
| 20 |
+
"蔚来15人(jira+hack)采集-批次1204",2
|
| 21 |
+
"LUPerson-part2",2
|
| 22 |
+
"网红球馆-大华88馆相机调试和小程序测试-批次0930",2
|
| 23 |
+
"真实人体数据集(221207)",2
|
| 24 |
+
"蔚来OMS2.0海外儿童和安全座椅数据采集-批次0627",2
|
| 25 |
+
"多类商品真实场景采集需求-批次1126",2
|
| 26 |
+
"NIO_CHILD-批次0602",2
|
| 27 |
+
"卡车日本车牌采集-批次0606",2
|
| 28 |
+
"车辆品牌-车系-年款信息/例图采集-批次0323",2
|
| 29 |
+
"广汽A88手势功能数据采集0708-批次0711",2
|
| 30 |
+
"清扫车20230302",2
|
| 31 |
+
"广汽A19南通采集-批次0620",1
|
| 32 |
+
"上海极氪数据脱敏任务采集-批次0707",1
|
| 33 |
+
"P1_P2类别着地点标注_3",1
|
| 34 |
+
"广汽A58危险动作DMS\u0026OMS和表情OMS-批次0429",1
|
| 35 |
+
"HA1 OMS动态手势补采集-批次0326",1
|
| 36 |
+
"【标注任务数据3003】Landmark标注-1",1
|
| 37 |
+
"爱数粤语-批次1222",1
|
| 38 |
+
"Gaze静态实车数据采集-批次0331",1
|
| 39 |
+
"清扫车20230608",1
|
| 40 |
+
"多人种采集h1-批次0530",1
|
| 41 |
+
"单反人像数据采集-批次0503",1
|
| 42 |
+
"人、车、车轮标注",1
|
| 43 |
+
"人、车、车轮标注-3 ",1
|
| 44 |
+
"数据标注及采集需求申请byd(uxe)-批次0403",1
|
| 45 |
+
"BI_C1_(抚顺)大规模(500~1000ID)多角度检测数据采集-批次0531",1
|
| 46 |
+
"儿童哭泣数据集(音视频)补采集第一批-批次0831",1
|
| 47 |
+
"口罩侧脸遮挡侧脸采集-批次0428",1
|
| 48 |
+
"无名指自遮挡视频采集-批次1028",1
|
| 49 |
+
"宝山数据3月采集-批次0315",1
|
| 50 |
+
"车辆颜色、车型分类",1
|
| 51 |
+
"广汽A02 DMS\u0026OMS非Gaze全功能采集-批次0930",1
|
| 52 |
+
"BYD唐 gaze/headpose/head3d采集-批次1231",1
|
| 53 |
+
"AVP freespace标注",1
|
| 54 |
+
"IR通道有亮斑的测试集采集-批次1130",1
|
| 55 |
+
"2301-hardcase采集【wholebody-faceid-疲劳】-批次0215",1
|
| 56 |
+
"EVS数据采集-批次0330",1
|
| 57 |
+
"广汽A02手势采集-批次0323",1
|
| 58 |
+
"SenseLive-海康四目相机采集和测试-批次0923",1
|
| 59 |
+
"【SenseLive】篮球数据采集\u0026现场测试-20230111-批次0111",1
|
| 60 |
+
"SenseLive-2022公司篮球联赛-决赛数据采集-批次1014",1
|
| 61 |
+
"【标注任务数据10000】老鼠拉框",1
|
| 62 |
+
"LAION-400M part3 19",1
|
| 63 |
+
"人车分割-花玩偶",1
|
| 64 |
+
"LAION-400M part3 14",1
|
| 65 |
+
"ichigo_cutpaper-批次0923",1
|
| 66 |
+
"data_lake_jdt",1
|
| 67 |
+
"LAION-400M part3 annotations",1
|
| 68 |
+
"彩票采集_3000张_2022110301-批次1107",1
|
| 69 |
+
"【标注任务数据12496】AVP freespace标注",1
|
| 70 |
+
"2209-智加J7-安全带-疲劳数据采集-批次0930",1
|
| 71 |
+
"A88数据-批次0712",1
|
| 72 |
+
"极氪BX1E项目20人危险动作采集-批次1204",1
|
| 73 |
+
"POC文档类型标注 复制[18118]",1
|
| 74 |
+
"日本车牌采集测试-批次1119",1
|
| 75 |
+
"收集对应岗位的面经-批次1107",1
|
| 76 |
+
"自驾感知模型-车灯单帧标注-v0.1.0",1
|
| 77 |
+
"停车场RAW数据采集-批次0108",1
|
| 78 |
+
"广汽A79gaze40人采集-批次0913",1
|
| 79 |
+
"RenFace-采集-批次0630",1
|
| 80 |
+
"IMX500-2022-Q4-多场景多光源RAW数据集采集--画质实验室-批次1014",1
|
| 81 |
+
"关键点数据采集_20220816-批次0822",1
|
| 82 |
+
"BYD SA3视线采集-批次1014",1
|
| 83 |
+
"人、车、车轮标注-2",1
|
| 84 |
+
"上海88球馆-篮球小程序功能测试-批次0820",1
|
| 85 |
+
"手部视频采集-握拳场景-批次0326",1
|
| 86 |
+
"篮球检测标注[与ID16017任务相同,跳过竞价][2022-12-23 13:04:08] 复制[15842][2022-12-29 16:04:50] 复制[15914][2023-01-05 1",1
|
| 87 |
+
"20230207_child_add_age",1
|
| 88 |
+
"T60采集需求-批次0312",1
|
| 89 |
+
"猫狗跳跃采集-批次1128",1
|
| 90 |
+
"HA_VX1手势功能数据采集0728-批次0805",1
|
| 91 |
+
"OPPO精彩片段二期数据采集-批次0923",1
|
| 92 |
+
"Pilot车型测试集V0.2.6标注清洗",1
|
| 93 |
+
"健康状态检测-批次1115",1
|
| 94 |
+
"极氪-Gaze+Headpose任务采集-批次1111",1
|
| 95 |
+
"SAAS dec2 人体关键点标注任务,沿用团队4",1
|
| 96 |
+
"上海88球馆-篮球小程序功能测试-202208-批次0831",1
|
| 97 |
+
"【标注任务数据9224】test-20211215",1
|
| 98 |
+
"本田31ya-批次0430",1
|
| 99 |
+
"oppo二期精彩动作采集2-批次1006",1
|
| 100 |
+
"LUPerson-part1",1
|
| 101 |
+
"便利店场景数据标注datasetF_new_2-11段视频",1
|
| 102 |
+
"蔚来人脸识别-属性-疲劳130人采集-批次0627",1
|
| 103 |
+
"BYD DMS采集-批次1220",1
|
| 104 |
+
"多人种采集h2-批次0530",1
|
| 105 |
+
"蔚来2.0人脸属性和儿童数据采集0824-批次0908",1
|
| 106 |
+
"EVS汽车数据采集0530-批次0608",1
|
| 107 |
+
"【标注任务数据12620】睡岗事件人数标注",1
|
| 108 |
+
"炫彩活体测试集采集需求-批次0730",1
|
| 109 |
+
"网安手写体OCR采集-批次1118",1
|
| 110 |
+
"压测爬虫lustre-1424ceph",1
|
| 111 |
+
"body_aciton_datasetF_1230",1
|
| 112 |
+
"真实人体数据集",1
|
| 113 |
+
"其他动作采集2-批次0817",1
|
| 114 |
+
"真实人体数据集(221220)",1
|
| 115 |
+
"���身场景补充采集2022Q4-批次1208",1
|
| 116 |
+
"Type3第二批训练集标注",1
|
| 117 |
+
"晾晒第一轮-政府类",1
|
| 118 |
+
"20220303_肢体关键点采集_litong",1
|
| 119 |
+
"仁济内镜息肉标注22-03-12",1
|
| 120 |
+
"人体检测室内场景优化数据采集-批次1215",1
|
| 121 |
+
"20220301_肢体关键点采集_litong",1
|
| 122 |
+
"【标注任务数据8261】人体关键点标注",1
|
| 123 |
+
"数据标注及采集需求BYD(SG)-批次0329",1
|
| 124 |
+
"c589时序数据标注",1
|
| 125 |
+
"培训任务-车辆拉框",1
|
| 126 |
+
"复杂背景指甲采集",1
|
| 127 |
+
"真实人体数据集(221231) ",1
|
| 128 |
+
"[gac_baidu_collect] p1p2类 2 [不竞标]",1
|
| 129 |
+
"多类商品真实场景采集需求-批次1202",1
|
| 130 |
+
"长安项目脱敏数据采集-梧桐-批次0930",1
|
| 131 |
+
"双目模组采集测试-批次1225",1
|
| 132 |
+
"AIDC 和临港路口无人机采集以及AIDC全景相机采集-批次0115",1
|
| 133 |
+
"BYD SG OMS动态手势+嘘+前排乘客行为-批次0430",1
|
| 134 |
+
"Garment",1
|
| 135 |
+
"BYDSG遗留物体采集-批次0219",1
|
| 136 |
+
"wholebody-nio-data-2212标注",1
|
| 137 |
+
"2023Q1 室内内外置光源数据集采集-批次0217",1
|
| 138 |
+
"人、车、车轮标注-4",1
|
| 139 |
+
"C589 手势采集-批次0909",1
|
| 140 |
+
"前景分割-人-附属物采集-批次0310",1
|
| 141 |
+
"年龄属性测试集清洗(与15816任务相同,跳过试标,可沿用团队)",1
|
| 142 |
+
"年龄属性儿童数据清洗",1
|
| 143 |
+
"东风G59安全座椅/宠物/危险动作/安全带数据采集-批次0407",1
|
| 144 |
+
"采集功能测试-批次0220",1
|
| 145 |
+
"健身场景补充采集2022Q4-批次1208-肢体关键点17点标注",1
|
| 146 |
+
"ichigo_海外人种测试集_0210-批次0228",1
|
| 147 |
+
"20220721蔚来DMS向后看采集20人-批次0802",1
|
| 148 |
+
"sku数据集采集-批次0226",1
|
| 149 |
+
"有人摔倒采集-批次0930",1
|
| 150 |
+
"真实人体数据集(221227) ",1
|
| 151 |
+
"DFM57 OMS实车采集15人次-批次1130",1
|
| 152 |
+
"手部视频采集-单侧光线场景-批次0327",1
|
| 153 |
+
"情绪-婴儿笑-批次1118",1
|
| 154 |
+
"20220228_肢体关键点采集_litong",1
|
| 155 |
+
"20220304_肢体关键点采集_litong",1
|
| 156 |
+
"手部视频采集_221223(重建和场景覆盖用)-批次1228",1
|
| 157 |
+
"low level曝光数据集采集-批次0619",1
|
| 158 |
+
"清扫车20230426",1
|
| 159 |
+
"蔚来DMS项目疲劳30人采集-批次1002",1
|
| 160 |
+
"手部指甲视频采集0712-批次0718",1
|
| 161 |
+
"LAION-400M part3 04",1
|
| 162 |
+
"20230106-手掌垂直屏幕采集-批次0115",1
|
| 163 |
+
"智加J7-批次0814",1
|
| 164 |
+
"手部测试场景-批次0213",1
|
| 165 |
+
"蔚来项目人脸关键点和疲劳数据采集-批次1020",1
|
| 166 |
+
"主体检测跟踪训练数据-批次0518",1
|
| 167 |
+
"蔚来眯眼13人采集-批次0613",1
|
| 168 |
+
"蔚来202208实测-批次0911",1
|
| 169 |
+
"海外白色人种测试集采集-批次0616",1
|
| 170 |
+
"关键点数据采集_20220913-批次0921",1
|
| 171 |
+
"荣耀2.5期高尔夫数据筛选",1
|
| 172 |
+
"荣耀2.5期芭蕾数据采集_20230227-批次0314",1
|
| 173 |
+
"YFCC100M(仅图像)",1
|
| 174 |
+
"北京公社Gaze采集需求-批次1020",1
|
| 175 |
+
"NIO蔚来OMSEC7成人儿童faceid采集-批次0113",1
|
| 176 |
+
"深圳11A点云带标注图像已压缩",1
|
| 177 |
+
"蔚来OMS Sirus ES6测试集采集-批次0220",1
|
| 178 |
+
"C589 gaze采集-批次0831",1
|
sensedataStats/public_top_500.csv
ADDED
|
@@ -0,0 +1,275 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_id,uv
|
| 2 |
+
"COCO 2017",54
|
| 3 |
+
"nuScenes",31
|
| 4 |
+
"ImageNet",24
|
| 5 |
+
"COCO 2014",13
|
| 6 |
+
"ImageNet-1K",13
|
| 7 |
+
"Meta AI Video Similarity 2023",11
|
| 8 |
+
"Objects365",10
|
| 9 |
+
"CC3M",10
|
| 10 |
+
"PASCAL VOC2012",9
|
| 11 |
+
"CityScapes",9
|
| 12 |
+
"laion-aesthetic",8
|
| 13 |
+
"Flickr Image dataset",8
|
| 14 |
+
"KITTI Object",8
|
| 15 |
+
"CIFAR-10",7
|
| 16 |
+
"DISC2021",7
|
| 17 |
+
"Vimeo-90K",7
|
| 18 |
+
"COCO",7
|
| 19 |
+
"FFHQ",7
|
| 20 |
+
"CC12M",7
|
| 21 |
+
"GOT-10k",6
|
| 22 |
+
"LaSOT_extension",6
|
| 23 |
+
"ADE20K",6
|
| 24 |
+
"CMU panoptic",6
|
| 25 |
+
"VQA v2",6
|
| 26 |
+
"Waymo Motion Dataset",5
|
| 27 |
+
"UCF101 - Action Recognition",5
|
| 28 |
+
"waymo v1.3.2",5
|
| 29 |
+
"Visual Genome Dataset V1.2",5
|
| 30 |
+
"mscoco2017-spring",5
|
| 31 |
+
"ADE20K Dataset",5
|
| 32 |
+
"DIV2K",5
|
| 33 |
+
"nuImages",5
|
| 34 |
+
"Argoverse 2 Sensor Dataset",5
|
| 35 |
+
"waymo v1.4.1",5
|
| 36 |
+
"ScanNet v2",5
|
| 37 |
+
"CelebA 人脸属性数据集",5
|
| 38 |
+
"Stanford Cars",5
|
| 39 |
+
"SA-1B",4
|
| 40 |
+
"CIFAR-100",4
|
| 41 |
+
"HICO-DET",4
|
| 42 |
+
"Flickr2K",4
|
| 43 |
+
"MOT17",4
|
| 44 |
+
"SCUT-HEAD",4
|
| 45 |
+
"waymo v1.4",4
|
| 46 |
+
"Kinetics 400",4
|
| 47 |
+
"Flickr Image",4
|
| 48 |
+
"PASCAL VOC2007",3
|
| 49 |
+
"OneHand10K",3
|
| 50 |
+
"CUB-200-2011 (Caltech-UCSD Birds-200-2011)",3
|
| 51 |
+
"SBU Captioned Photo Dataset",3
|
| 52 |
+
"NTU RGB+D",3
|
| 53 |
+
"ImageNet-Sketch",3
|
| 54 |
+
"ILSVRC2012",3
|
| 55 |
+
"TNL2K (Tracking by natural language)",3
|
| 56 |
+
"ImageNet ILSVRC2012 Images",3
|
| 57 |
+
"MOT20",3
|
| 58 |
+
"SoMeSci (Software Mentions in Scientific Articles)",3
|
| 59 |
+
"SBU Captions Dataset",3
|
| 60 |
+
"DynamicEarthNet",3
|
| 61 |
+
"GQA",3
|
| 62 |
+
"scannet_processed",3
|
| 63 |
+
"AIST++",3
|
| 64 |
+
"ILSVRC",3
|
| 65 |
+
"FreiHAND",3
|
| 66 |
+
"BL30K",3
|
| 67 |
+
"PASCAL VOC 2010",3
|
| 68 |
+
"WildestFaces",3
|
| 69 |
+
"FSDnoisy18k",2
|
| 70 |
+
"ICDAR 2015",2
|
| 71 |
+
"ZJU-MoCap",2
|
| 72 |
+
"HICO(Humans Interacting with Common Objects)",2
|
| 73 |
+
"SemanticKITTI",2
|
| 74 |
+
"YT-BB (YouTube-BoundingBoxes)",2
|
| 75 |
+
"NTU RGB+D 120",2
|
| 76 |
+
"objects365_full",2
|
| 77 |
+
"ImageNet-Adversarial",2
|
| 78 |
+
"ICDAR2015",2
|
| 79 |
+
"Places365",2
|
| 80 |
+
"TAO",2
|
| 81 |
+
"KITTI Depth Completion",2
|
| 82 |
+
"ApolloScapeAuto scene_parsing",2
|
| 83 |
+
"COCO-Stuff",2
|
| 84 |
+
"REDS",2
|
| 85 |
+
"ILSVRC2015 VID",2
|
| 86 |
+
"iNaturalist2021",2
|
| 87 |
+
"Fashion-MNIST",2
|
| 88 |
+
"MPII Human Pose",2
|
| 89 |
+
"LVIS",2
|
| 90 |
+
"KITTI Odometry 2012",2
|
| 91 |
+
"SURREAL",2
|
| 92 |
+
"Yoga-82",2
|
| 93 |
+
"ImageNet-R (ImageNet-Rendition)",2
|
| 94 |
+
"In-Shop (In-shop Clothes Retrieval Benchmark)",2
|
| 95 |
+
"DNS-challenge-4",2
|
| 96 |
+
"ShapeNet55",2
|
| 97 |
+
"VFHQ_zips",2
|
| 98 |
+
"PointQA",2
|
| 99 |
+
"SKU110K",2
|
| 100 |
+
"LOL (LOw-Light dataset)",2
|
| 101 |
+
"BDD100K",2
|
| 102 |
+
"TUD-L all test images",2
|
| 103 |
+
"BDD100K Images",2
|
| 104 |
+
"CC12M (Conceptual 12M)",2
|
| 105 |
+
"DukeMTMC-VideoReID",2
|
| 106 |
+
"ONCE",2
|
| 107 |
+
"SUN",2
|
| 108 |
+
"MSMT17",2
|
| 109 |
+
"OpenXD-SynBody",2
|
| 110 |
+
"LaSOT",2
|
| 111 |
+
"VisDrone 2019",2
|
| 112 |
+
"SketchHairSalon",2
|
| 113 |
+
"WFLW (Wider Facial Landmarks in the Wild)",2
|
| 114 |
+
"NYUv2 (NYU-Depth V2)",2
|
| 115 |
+
"VOT2018",2
|
| 116 |
+
"LINEMOD",2
|
| 117 |
+
"Pre-processed meshes of megapose",2
|
| 118 |
+
"JAAD",2
|
| 119 |
+
"OpenXD-HuMMan",1
|
| 120 |
+
"DDAD (Dense Depth for Autonomous Driving)",1
|
| 121 |
+
"DAVIS 2017",1
|
| 122 |
+
"YouTubeVIS2019",1
|
| 123 |
+
"AI Challenger 2017",1
|
| 124 |
+
"WIDER Face Detection",1
|
| 125 |
+
"UAV123",1
|
| 126 |
+
"SSP-3D",1
|
| 127 |
+
"nocaps",1
|
| 128 |
+
"BEAT_ALL_LANGUAGES",1
|
| 129 |
+
"AGORA",1
|
| 130 |
+
"VizWiz-Captions",1
|
| 131 |
+
"CLEVR (Compositional Language and Elementary Visual Reasoning)",1
|
| 132 |
+
"VizWiz (VizWiz-VQA)",1
|
| 133 |
+
"VITON-HD (High-Resolution VITON-Zalando Dataset)",1
|
| 134 |
+
"TextOCR",1
|
| 135 |
+
"Argoverse1",1
|
| 136 |
+
"PPR10K (Portrait Photo Retouching dataset)",1
|
| 137 |
+
"Oxford-IIIT Pet",1
|
| 138 |
+
"MoTIF",1
|
| 139 |
+
"MARS-DL",1
|
| 140 |
+
"BA (Binary Alphabet)",1
|
| 141 |
+
"TAO AVA and HACS videos",1
|
| 142 |
+
"Stanford Online Products",1
|
| 143 |
+
"RPC (Retail Product Checkout)",1
|
| 144 |
+
"ImageNet-VidVRD",1
|
| 145 |
+
"BOP datasets",1
|
| 146 |
+
"LSDMC",1
|
| 147 |
+
"ICDAR 2017",1
|
| 148 |
+
"imagenet22k-spring",1
|
| 149 |
+
"Lyft Level 5 Prediction",1
|
| 150 |
+
"DTD (Describable Textures Dataset)",1
|
| 151 |
+
"ILSVRC2015 DET",1
|
| 152 |
+
"The Pile",1
|
| 153 |
+
"AEC-Challenge fullband",1
|
| 154 |
+
"Set14",1
|
| 155 |
+
"ADE20K 2021",1
|
| 156 |
+
"KITTI Tracking",1
|
| 157 |
+
"FGVC Aircraft",1
|
| 158 |
+
"HRSOD (High-Resolution Salient Object Detection)",1
|
| 159 |
+
"youtube 8m audioset",1
|
| 160 |
+
"Lyft L5",1
|
| 161 |
+
"COCO-QA",1
|
| 162 |
+
"CLEVR-Hans",1
|
| 163 |
+
"Grasping dataset: suction-based (suction-based-grasping-dataset)",1
|
| 164 |
+
"LaPa",1
|
| 165 |
+
"FLIC (Frames Labelled in Cinema)",1
|
| 166 |
+
"BEAT",1
|
| 167 |
+
"KITTI-STEP",1
|
| 168 |
+
"SYSU-30k",1
|
| 169 |
+
"JRDB2022",1
|
| 170 |
+
"waymo v1.3.1",1
|
| 171 |
+
"VizWiz-QualityIssues",1
|
| 172 |
+
"The EuRoC MAV Dataset",1
|
| 173 |
+
"AliMeeting",1
|
| 174 |
+
"ArchitecturalStyles",1
|
| 175 |
+
"DOTA V1.0",1
|
| 176 |
+
"megapose6d (gso_1M \u0026 shapenet_1M)",1
|
| 177 |
+
"KITTI Flow 2015",1
|
| 178 |
+
"DAVIS 2016",1
|
| 179 |
+
"RSTPReid (Real Scenario Text-based Person Re-identification)",1
|
| 180 |
+
"DRealSR",1
|
| 181 |
+
"Waymo v1.3",1
|
| 182 |
+
"SID (See-in-the-Dark)",1
|
| 183 |
+
"FlyingThings3D_subset",1
|
| 184 |
+
"DIODE (Dense Indoor and Outdoor Depth)",1
|
| 185 |
+
"VOT2019",1
|
| 186 |
+
"DOTA V2.0",1
|
| 187 |
+
"ICASSP 2021 Acoustic Echo Cancellation Challenge",1
|
| 188 |
+
"test",1
|
| 189 |
+
"ICDAR 2013",1
|
| 190 |
+
"CronQuestions",1
|
| 191 |
+
"3DPW",1
|
| 192 |
+
"iBugMask",1
|
| 193 |
+
"Argoverse",1
|
| 194 |
+
"上海极氪数据脱敏任务采集-批次0707",1
|
| 195 |
+
"TIMIT",1
|
| 196 |
+
"NTU-X",1
|
| 197 |
+
"DeepFashion2",1
|
| 198 |
+
"Synthetic Data for Text Localisation in Natural Images",1
|
| 199 |
+
"CrowdHuman",1
|
| 200 |
+
"sthv2",1
|
| 201 |
+
"OpenImages-spring",1
|
| 202 |
+
"Pascal Panoptic Parts",1
|
| 203 |
+
"MUSDB18-HQ",1
|
| 204 |
+
"GoPro",1
|
| 205 |
+
"iNaturalist Dataset 2018",1
|
| 206 |
+
"SYSU 3D HOI Set",1
|
| 207 |
+
"PASTIS (Panoptic Segmentation of satellite image TImes Series)",1
|
| 208 |
+
"LogoDet-3K",1
|
| 209 |
+
"Places-LT",1
|
| 210 |
+
"AFLW-19 (The 19 landmark variant of AFLW.)",1
|
| 211 |
+
"TartanAir dataset",1
|
| 212 |
+
"Total-Text",1
|
| 213 |
+
"MOT16",1
|
| 214 |
+
"VOCdevkit",1
|
| 215 |
+
"FDST (Fudan-ShanghaiTech)",1
|
| 216 |
+
"MNIST-M",1
|
| 217 |
+
"COCO-WholeBody",1
|
| 218 |
+
"UCAS-AOD Dataset",1
|
| 219 |
+
"MegaDepth",1
|
| 220 |
+
"kitti2015",1
|
| 221 |
+
"LSP-extended",1
|
| 222 |
+
"Chart-to-text",1
|
| 223 |
+
"DTU (DTU MVS dataset - 2014)",1
|
| 224 |
+
"CIFAR-100N (Real-World Human Annotations)",1
|
| 225 |
+
"AI Challenger",1
|
| 226 |
+
"MTP",1
|
| 227 |
+
"MOT15",1
|
| 228 |
+
"posecnn",1
|
| 229 |
+
"ImageNet-C",1
|
| 230 |
+
"ADE20K 2016",1
|
| 231 |
+
"MVTecAD (MVTEC ANOMALY DETECTION DATASET)",1
|
| 232 |
+
"MVTec D2S (MVTec Densely Segmented Supermarket)",1
|
| 233 |
+
"VFHQ",1
|
| 234 |
+
"MannequinChallenge",1
|
| 235 |
+
"PASCAL VOC2012 Detection",1
|
| 236 |
+
"GTEA (Georgia Tech Egocentric Activity)",1
|
| 237 |
+
"SCUT-CTW1500",1
|
| 238 |
+
"MessyTable",1
|
| 239 |
+
"TRoM",1
|
| 240 |
+
"OpenXD-OmniObject3D",1
|
| 241 |
+
"A2D2",1
|
| 242 |
+
"Northwestern-UCLA",1
|
| 243 |
+
"EHF",1
|
| 244 |
+
"3DOH50K",1
|
| 245 |
+
"MTC",1
|
| 246 |
+
"PRID2011 (Person RE-ID 2011)",1
|
| 247 |
+
"SciHTC",1
|
| 248 |
+
"Halpe",1
|
| 249 |
+
"DiDeMoSV",1
|
| 250 |
+
"UTKFace",1
|
| 251 |
+
"LUPerson-NL",1
|
| 252 |
+
"PFN-VT (PFN Visuo-Tactile Dataset)",1
|
| 253 |
+
"PlantDoc",1
|
| 254 |
+
"Zurich-RAW-to-DSLR-Dataset",1
|
| 255 |
+
"AISHELL-1",1
|
| 256 |
+
"OCHuman",1
|
| 257 |
+
"CelebAGaze",1
|
| 258 |
+
"NuScenes Occupancy Grids Dataset",1
|
| 259 |
+
"OpenXD-GTA-Human",1
|
| 260 |
+
"VOC-spring",1
|
| 261 |
+
"Urban100",1
|
| 262 |
+
"WorldKG",1
|
| 263 |
+
"Icon645",1
|
| 264 |
+
"SceneFlowDatasets(Monkaa)",1
|
| 265 |
+
"DF2K_OST",1
|
| 266 |
+
"TI1K Dataset (Thumb Index 1000 Hand \u0026 Fingertip Detection Dataset)",1
|
| 267 |
+
"PBR-YCBV",1
|
| 268 |
+
"IMDb-Face",1
|
| 269 |
+
"RPIfield",1
|
| 270 |
+
"CityScapes (leftImg8bit_sequence_trainvaltest)",1
|
| 271 |
+
"ITODD-PBR",1
|
| 272 |
+
"TrackingNet",1
|
| 273 |
+
"THUman2.0",1
|
| 274 |
+
"AP-10K",1
|
| 275 |
+
"ImageNet-22K",1
|