metadata
configs:
- config_name: all
default: true
data_files:
- split: train
path: '*/train-*'
- config_name: lvosv1
data_files:
- split: train
path: lvosv1/train-*
- config_name: lvosv2
data_files:
- split: train
path: lvosv2/train-*
- config_name: lasot
data_files:
- split: train
path: lasot/train-*
- config_name: uwcot
data_files:
- split: train
path: uwcot/train-*
- config_name: webuot
data_files:
- split: train
path: webuot/train-*
- config_name: latot
data_files:
- split: train
path: latot/train-*
- config_name: tnl2k
data_files:
- split: train
path: tnl2k/train-*
- config_name: tnnlt
data_files:
- split: train
path: tnnlt/train-*
- config_name: webuav
data_files:
- split: train
path: webuav/train-*
- config_name: got10k
data_files:
- split: train
path: got10k/train-*
- config_name: vasttrack
data_files:
- split: train
path: vasttrack/train-*
- config_name: trackingnet
data_files:
- split: train
path: trackingnet/train-*
license: apache-2.0
task_categories:
- video-classification
- object-detection
tags:
- video-object-tracking
- video-segmentation
Single Object Tracking Dataset with Point as Input
Video object tracking annotations for single object tracking, where the input is a single point. This dataset is derived from the original datasets by converting bbox annotations to point tracks.
Each config corresponds to a different source dataset. All share the same task (single_point_track) and schema.
Configs
| Config | Description | Splits |
|---|---|---|
all (default) |
All source datasets combined | train |
lvosv1 |
lvosv1 single point tracking | train |
lvosv2 |
lvosv2 single point tracking | train |
lasot |
lasot single point tracking | train |
uwcot |
uwcot single point tracking | train |
webuot |
webuot single point tracking | train |
latot |
latot single point tracking | train |
tnl2k |
tnl2k single point tracking | train |
tnnlt |
tnnlt single point tracking | train |
webuav |
webuav single point tracking | train |
got10k |
got10k single point tracking | train |
vasttrack |
vasttrack single point tracking | train |
trackingnet |
trackingnet single point tracking | train |
Usage
from datasets import load_dataset
# Load all datasets (default)
ds = load_dataset("allenai/molmo2-single-object-track", split="train")
# Load a specific source dataset
ds = load_dataset("allenai/molmo2-single-object-track", "lvosv1", split="train")