Datasets:

vedkdev
/

DARPA-PHASE-3

license: other
task_categories:
  - video-classification
  - object-detection
  - image-classification
language:
  - en
tags:
  - casualty
  - medical
  - simulation
  - UGV
  - triage
  - vitals
  - trauma
  - DARPA

DARPA PHASE 1+2+3

Multi-modal casualty simulation dataset collected from UGV (ground) platforms across multiple field exercises and phases. The repository bundles casualty video, ground/medic camera footage, still imagery, timestamped manikin vitals, and per-casualty trauma annotations.

Dataset Structure

├── DTC_Trauma_Phase1and2.csv          Trauma labels for Phase 1 & 2 (keyed by video_id)
├── DTC_Trauma_Sheet_Phase_3.csv       Trauma labels for Phase 3 (keyed by casualty clip path)
├── PHASE_1/
│   └── P1_C{n}_{seg}.mp4               Per-casualty video segments (Casualty 1–3, segments a–l)
├── PHASE_2/
│   └── P2D2_G1_S{n}.MP4                Ground platform video sessions
└── PHASE_3/
    └── UGV/                            Ground (unmanned ground vehicle) platform
        ├── Field 2/
        │   ├── Field 2 Manikin Timestamped Vitals/   (Casualty 6–11 vitals CSVs)
        │   ├── Camera Snapshots/
        │   │   ├── UGV1(iphone)        Casualty & scene stills (.png)
        │   │   ├── UGV2(GoPro)         Casualty & scene stills
        │   │   └── UGV3(DSLR)          Casualty & scene stills
        │   ├── UGV2/
        │   │   ├── casualty_6 … casualty_11   Per-casualty MP4 clips
        │   │   └── Medic View/                Body-worn medic camera, per casualty
        │   └── UGV4/
        │       ├── Camcorder1_23229    Per-casualty camcorder MP4s
        │       └── Camcorder2_23230    Per-casualty camcorder MP4s
        └── Field 3/
            ├── Field 3 Manikin Timestamped Vitals/   (Casualty 12–19 vitals CSVs)
            ├── Camera Snapshots/
            │   └── UGV2(GoPro)         Casualty & scene stills
            ├── UGV2/
            │   ├── casualty_12_14 … casualty_19   Per-casualty MP4 clips
            │   └── Medic View/                    Body-worn medic camera, per casualty
            └── UGV4/
                ├── Camcorder1_23229
                └── Camcorder2_23230

Annotations

Two top-level CSVs provide per-casualty trauma labels:

File	Key column	Label columns
`DTC_Trauma_Phase1and2.csv`	`video_id` (e.g. `P1_C1_a`)	`trauma_head`, `trauma_torso`, `trauma_arm`, `trauma_leg`, `severe_hemorrhage`, `motor_alertness`
`DTC_Trauma_Sheet_Phase_3.csv`	`casualty_id` (relative clip path, e.g. `UGV/Field 2/UGV2/casualty_6/P3D2_GA32_S1.mp4`)	`trauma_head`, `trauma_torso_front`, `trauma_torso_back`, `trauma_arm_right`, `trauma_arm_left`, `trauma_leg_right`, `trauma_leg_left`

Note: In videos with multiple casualties, the casualty closer to the camera is taken as the query subject.

Label legends

Phase 1 & 2 (DTC_Trauma_Phase1and2.csv) — per-region injury code:

Value	Meaning
`0`	Normal / no injury
`1`	Wound
`2`	Amputation (arms and legs only)

severe_hemorrhage and motor_alertness are binary flags (0/1).

Phase 3 (DTC_Trauma_Sheet_Phase_3.csv) — per-region injury code:

Value	Meaning
`0`	Amputation
`1`	Open wound
`2`	Closed wound
`3`	Burn
`4`	Not testable

Platforms

Platform	Type	Phases / Fields	Sensors / Devices
UGV	Ground	Phase 2, Phase 3 (Field 2, 3)	iPhone & DSLR snapshots, GoPro, Camcorders, Medic cam

Naming Convention

Phase/Day: P1, P2D2, P3D2, P3D3 — Phase, Day
Casualty: C1–C3 (Phase 1) / casualty_6–casualty_19 (Phase 3)
Camera positions: CA, CB, GA, GB, G1, M (Medic)
Segment / Session: _a–_l (Phase 1 segments), S1, S10 (sessions)

Example filenames

P1_C1_a.mp4 — Phase 1, Casualty 1, segment a
P2D2_G1_S10.MP4 — Phase 2 Day 2, ground camera G1, session 10
P3D2_GA32_S1.mp4 — Phase 3 Day 2, casualty clip (Field 2, Casualty 6)
Casualty6_timestamped_vitals_P3D2_CA36_S1.csv — Vitals for Casualty 6, Phase 3 Day 2
Field 2_Cas 10_1.png — Snapshot of Casualty 10, Field 2

Modalities

Video (MP4/MOV) — Phase 1/2 casualty clips, UGV ground teleoperation, and body-worn medic camera
Images (PNG/JPG) — Stills from iPhone, GoPro, and DSLR capturing casualties and scene context
Vitals (CSV) — Timestamped manikin physiological data (simulated patient vitals)
Annotations (CSV) — Per-casualty trauma severity / condition labels

Casualties by Field

Phase / Field	Casualties	Platforms
Phase 1	1–3	Casualty video
Phase 2	—	UGV (ground)
Phase 3 / Field 2	6–11	UGV
Phase 3 / Field 3	12–19	UGV

Basic Usage (Hugging Face Hub)

Download the full repository snapshot:

from huggingface_hub import snapshot_download

local_dir = snapshot_download(
    repo_id="vedkdev/DARPA-PHASE-3",
    repo_type="dataset",
)
print(local_dir)

Grab a single file (e.g. the Phase 3 label sheet) without cloning everything:

from huggingface_hub import hf_hub_download

csv_path = hf_hub_download(
    repo_id="vedkdev/DARPA-PHASE-3",
    repo_type="dataset",
    filename="DTC_Trauma_Sheet_Phase_3.csv",
)

Load the trauma annotations and resolve clip paths:

import os
import pandas as pd

labels = pd.read_csv(os.path.join(local_dir, "DTC_Trauma_Sheet_Phase_3.csv"))

# casualty_id is a relative path under PHASE_3/
labels["clip_path"] = labels["casualty_id"].apply(
    lambda p: os.path.join(local_dir, "PHASE_3", p)
)
print(labels[["casualty_id", "trauma_head", "clip_path"]].head())

Phase 1 & 2 labels join on video_id, which matches the MP4 stem under PHASE_1/:

p12 = pd.read_csv(os.path.join(local_dir, "DTC_Trauma_Phase1and2.csv"))
p12["clip_path"] = p12["video_id"].apply(
    lambda vid: os.path.join(local_dir, "PHASE_1", f"{vid}.mp4")
)

The media files are tracked with Git LFS — run git lfs install first if you prefer a full git clone over snapshot_download.

Intended Uses

Multi-view casualty detection and tracking
Triage scene understanding from ground perspectives
Multi-modal fusion (video + vitals + still imagery)
Trauma severity classification and medic action recognition
Simulated trauma response research

License

Restricted — contact dataset maintainers for usage terms.