100 lines
3.1 KiB
Markdown
100 lines
3.1 KiB
Markdown
# 小目标数据集下载汇总
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## 目录
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- [数据集准备](#数据集准备)
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- [VisDrone-DET](#VisDrone-DET)
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- [DOTA水平框](#DOTA水平框)
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- [Xview](#Xview)
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- [用户自定义数据集](#用户自定义数据集)
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## 数据集准备
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### VisDrone-DET
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VisDrone-DET是一个无人机航拍场景的小目标数据集，整理后的COCO格式VisDrone-DET数据集[下载链接](https://bj.bcebos.com/v1/paddledet/data/smalldet/visdrone.zip)，切图后的COCO格式数据集[下载链接](https://bj.bcebos.com/v1/paddledet/data/smalldet/visdrone_sliced.zip)，检测其中的**10类**，包括 `pedestrian(1), people(2), bicycle(3), car(4), van(5), truck(6), tricycle(7), awning-tricycle(8), bus(9), motor(10)`，原始数据集[下载链接](https://github.com/VisDrone/VisDrone-Dataset)。
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具体使用和下载请参考[visdrone](../visdrone)。
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### DOTA水平框
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DOTA是一个大型的遥感影像公开数据集，这里使用**DOTA-v1.0**水平框数据集，切图后整理的COCO格式的DOTA水平框数据集[下载链接](https://bj.bcebos.com/v1/paddledet/data/smalldet/dota_sliced.zip)，检测其中的**15类**，
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包括 `plane(0), baseball-diamond(1), bridge(2), ground-track-field(3), small-vehicle(4), large-vehicle(5), ship(6), tennis-court(7),basketball-court(8), storage-tank(9), soccer-ball-field(10), roundabout(11), harbor(12), swimming-pool(13), helicopter(14)`，
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图片及原始数据集[下载链接](https://captain-whu.github.io/DOAI2019/dataset.html)。
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### Xview
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Xview是一个大型的航拍遥感检测数据集，目标极小极多，切图后整理的COCO格式数据集[下载链接](https://bj.bcebos.com/v1/paddledet/data/smalldet/xview_sliced.zip)，检测其中的**60类**，
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具体类别为：
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<details>
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`Fixed-wing Aircraft(0),
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Small Aircraft(1),
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Cargo Plane(2),
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Helicopter(3),
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Passenger Vehicle(4),
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Small Car(5),
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Bus(6),
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Pickup Truck(7),
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Utility Truck(8),
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Truck(9),
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Cargo Truck(10),
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Truck w/Box(11),
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Truck Tractor(12),
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Trailer(13),
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Truck w/Flatbed(14),
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Truck w/Liquid(15),
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Crane Truck(16),
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Railway Vehicle(17),
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Passenger Car(18),
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Cargo Car(19),
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Flat Car(20),
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Tank car(21),
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Locomotive(22),
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Maritime Vessel(23),
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Motorboat(24),
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Sailboat(25),
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Tugboat(26),
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Barge(27),
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Fishing Vessel(28),
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Ferry(29),
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Yacht(30),
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Container Ship(31),
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Oil Tanker(32),
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Engineering Vehicle(33),
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Tower crane(34),
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Container Crane(35),
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Reach Stacker(36),
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Straddle Carrier(37),
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Mobile Crane(38),
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Dump Truck(39),
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Haul Truck(40),
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Scraper/Tractor(41),
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Front loader/Bulldozer(42),
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Excavator(43),
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Cement Mixer(44),
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Ground Grader(45),
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Hut/Tent(46),
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Shed(47),
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Building(48),
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Aircraft Hangar(49),
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Damaged Building(50),
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Facility(51),
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Construction Site(52),
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Vehicle Lot(53),
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Helipad(54),
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Storage Tank(55),
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Shipping container lot(56),
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Shipping Container(57),
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Pylon(58),
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Tower(59)
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`
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</details>
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，原始数据集[下载链接](https://challenge.xviewdataset.org/)。
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### 用户自定义数据集
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用户自定义数据集准备请参考[DET数据集标注工具](../../docs/tutorials/data/DetAnnoTools.md)和[DET数据集准备教程](../../docs/tutorials/data/PrepareDetDataSet.md)去准备。
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