Data Download
The BDD100K data and annotations can be obtained at https://dl.cv.ethz.ch/bdd100k/data/. By downloading the data, you agree to the BDD100K license.
Videos
100K video clips
Size |
1.8TB |
md5 |
253d9a2f9d89d2b09d8d93f397aecdd7 |
Video Torrent
Torrent for the 100K video clips
Video Parts
The 100K videos broken into 100 parts for easy downloading.
Info
The GPS/IMU information recorded along with the videos
Size |
3.9GB |
md5 |
043811ff34b2fca6d50f37d263a65c93 |
100K Images
The images in this package are the frames at the 10th second in the videos. The split of train, validation, and test sets are the same with the whole video set. They are used for object detection, drivable area, lane marking.
Size |
5.3GB |
md5 |
5a0359c86a0b8713adab1eee9a3041cb |
- bdd100k
- images
- 100k
- train
- val
- test
10K Images
There are 10K images in this package for for semantic segmentation, instance segmentation and panoptic segmentation. Due to some legacy reasons, not all the images here have corresponding videos. So it is not a subset of the 100K images, even though there is a significant overlap.
Size |
1.1GB |
md5 |
08f26aecceda982568063d3d5873378e |
- bdd100k
- images
- 10k
- train
- val
- test
Labels
Annotations of road object detection in JSON format released
in 2018. The video attributes, including weather, scene, and timeofday,
are also stored in the downloaded json files. We revised the detection annotations in 2020
and released them as Detection 2020 Labels in the list. You are recommended to
use the new labels. This detection annotation set is kept for comparison with
legacy results.
Size |
107MB |
md5 |
e21be3e7d6a07ee439faf61e769667e4 |
Drivable Area
Masks, colormaps, RLEs, and original json files for drivable area. The mask format is explained at: Semantic Segmentation Format.
Size |
514MB |
md5 |
0abc320461200b1d7916f82fdcd64a96 |
- bdd100k
- labels
- drivable
- masks
- train
- val
- colormaps
- train
- val
- polygons
- drivable_train.json
- drivable_val.json
- rles
- drivable_train.json
- drivable_val.json
Lane Marking
Masks, colormaps and original json files for lane marking. The mask format is explained at: Lane Marking Format.
Size |
434MB |
md5 |
dfe74f9ed6800765a0047414d620a186 |
- bdd100k
- labels
- lane
- masks
- train
- val
- colormaps
- train
- val
- polygons
- lane_train.json
- lane_val.json
Semantic Segmentation
Masks, colormaps, RLEs, and original json files for semantic segmentation. The mask format is explained at: Semantic Segmentation Format.
Size |
419MB |
md5 |
9a2968dde3345eeb689cffb1e26f9c78 |
- bdd100k
- labels
- sem_seg
- masks
- train
- val
- colormaps
- train
- val
- polygons
- sem_seg_train.json
- sem_seg_val.json
- rles
- sem_seg_train.json
- sem_seg_val.json
Instance Segmentation
Masks, colormaps, RLEs, and original json files for instance segmentation. The bitmask format is explained at: Instance Segmentation Format.
Size |
111MB |
md5 |
651b41f229d7327d8c4af97772de4390 |
- bdd100k
- labels
- ins_seg
- bitmasks
- train
- val
- colormaps
- train
- val
- polygons
- ins_seg_train.json
- ins_seg_val.json
- rles
- ins_seg_train.json
- ins_seg_val.json
Panoptic Segmentation
Bitmasks, colormaps and original json files for panoptic segmentation. The bitmask format is explained at: Panoptic Segmentation Format.
Size |
363MB |
md5 |
fc37642ae024ffb223182ef01238d007 |
- bdd100k
- labels
- pan_seg
- bitmasks
- train
- val
- colormaps
- train
- val
- polygons
- pan_seg_train.json
- pan_seg_val.json
MOT 2020 Labels
Multi-object bounding box tracking training and validation labels released in 2020. This is a subset of the 100K videos, but the videos are resampled to 5Hz from 30Hz. The labels are in Scalabel Format. The same object in each video has the same label id but objects across videos are always distinct even if they have the same id.
Size |
115MB |
md5 |
6be40e0ca56a83ddeba2ed6bff50f9e6 |
- bdd100k
- labels
- box_track_20
- train
- val
MOT 2020 Images
Multi-object bounding box tracking videos in frames released in 2020. The videos are a subset of the 100K videos, but they are resampled to 5Hz from 30Hz.
- bdd100k
- images
- track
- train
- val
- test
Detection 2020 Labels
Multi-object detection validation and testing labels released in 2020. This is for the same set of images in the previous key frame annotation. However, this annotation went through the additional quality check. The original detection set is deprecated.
Size |
53MB |
md5 |
b86a3e1b7edbcad421b7dad2b3987c94 |
- bdd100k
- labels
- det_20
- det_train.json
- det_val.json
MOTS 2020 Labels
Multi-object tracking and segmentation training and validation labels released in 2020 The bitmask format is explained at: Instance Segmentation Format.
Size |
452MB |
md5 |
8822a8b72c2c6719f4573bc4d7077020 |
- bdd100k
- labels
- seg_track_20
- bitmasks
- train
- val
- colormaps
- train
- val
- polygons
- train
- val
- rles
- train
- val
MOTS 2020 Images
Multi-object tracking and segmentation videos in frames released in 2020. This is a subset of MOT 2020 Images.
Size |
5.4GB |
md5 |
7c52a52f3c9cc880c91b264870a1d4bb |
- bdd100k
- images
- seg_track_20
- train
- val
- test
Pose Estimation Labels
Pose estimation training and validation labels.
Size |
17MB |
md5 |
2e8738d3fd0ac432e64d9a72df2f7aa4 |
- bdd100k
- labels
- pose_21
- pose_train.json
- pose_val.json