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question_id string | images list | question string | correct_answer string |
|---|---|---|---|
CJ_merged_000001 | [
{
"path": "images/Dronemillion/img_008024.jpg"
}
] | Are there trains present on both levels of the elevated railway, with at least one train on each track? | No |
CJ_merged_000002 | [
{
"path": "images/Dronemillion/img_008030.jpg"
}
] | Is the small red truck beneath the elevated railway parked tightly against the building wall with its doors closed, and is there no visible barrier or marked pedestrian sidewalk between the vehicle and the wall? | No |
CJ_merged_000004 | [
{
"path": "images/Dronemillion/img_008039.jpg"
}
] | To the right of the flatbed truck with a green-and-black cab parked on the left side of the elevated tracks, are there two sedans with their front hoods open? | Yes |
CJ_merged_000005 | [
{
"path": "images/Dronemillion/img_008045.jpg"
}
] | Is the greenery strip between the elevated railway and the highway densely covered with healthy green foliage, without any visibly bare ground patches? | No |
CJ_merged_000006 | [
{
"path": "images/Dronemillion/img_008049.jpg"
}
] | Among the cars parked along the road immediately to the left of the beige-roofed building, are there blue, red, and orange cars? | Yes |
CJ_merged_000007 | [
{
"path": "images/Dronemillion/img_008056.jpg"
}
] | On the main multi-lane road on the left, are vehicles traveling in both directions with each lane kept mostly clear of stopped or illegally parked cars? | No |
CJ_merged_000009 | [
{
"path": "images/Dronemillion/img_008068.jpg"
}
] | In the current scene, can a gas station, residential apartment buildings, and a material storage and transport factory all be seen at the same time? | Yes |
CJ_merged_000010 | [
{
"path": "images/Dronemillion/img_008074.jpg"
}
] | In the parking area between the factory and the elevated tracks, are all cars parked within clearly marked spaces and arranged in a neat single row, with no vehicles skewed or occupying spaces side by side? | No |
CJ_merged_000011 | [
{
"path": "images/Dronemillion/img_008080.jpg"
}
] | Within this greenery strip, are there visible walking paths with people using them and benches placed alongside the paths? | No |
CJ_merged_000014 | [
{
"path": "images/Dronemillion/img_008093.jpg"
}
] | In the area beside the yellow container building, is there at least one car parked close to the building while temporary barriers are positioned nearby to control vehicle access? | Yes |
CJ_merged_000015 | [
{
"path": "images/Dronemillion/img_008099.jpg"
}
] | Within the parking area beside the tracks, are all parked cars positioned fully within marked spaces and facing the railway lines in an orderly, uniform orientation? | No |
CJ_merged_000016 | [
{
"path": "images/Dronemillion/img_008103.jpg"
}
] | Are any railway maintenance workers operating on the tracks, and can a track junction or switching point be seen in the image? | No |
CJ_merged_000017 | [
{
"path": "images/Dronemillion/img_008109.jpg"
}
] | Is the railway station area free of pedestrians while at least one train is present at the covered platform and multiple cars are parked along the adjacent curved access road? | Yes |
CJ_merged_000018 | [
{
"path": "images/Dronemillion/img_008113.jpg"
}
] | Are there multiple sets of tracks on the elevated railway, and does the image show both a track junction or switching point and an area closed for maintenance? | No |
CJ_merged_000045 | [
{
"path": "images/Dronemillion/img_008123.jpg"
}
] | Despite the heavy fog, are several vehicles on the central road still maintaining enough distance from one another to avoid clustering together? | Yes |
CJ_merged_000054 | [
{
"path": "images/Dronemillion/img_008130.jpg"
}
] | Under dense fog conditions, are multiple vehicles on the elevated road still keeping clearly visible gaps between one another? | Yes |
CJ_merged_000055 | [
{
"path": "images/Dronemillion/img_008132.jpg"
}
] | Can any marked sports facility be clearly observed in the fog-covered scene, including visible boundary lines and goals or nets? | No |
CJ_merged_000056 | [
{
"path": "images/Dronemillion/img_008139.jpg"
}
] | Are there any vehicles parked vertically (with their fronts facing either downward or upward) in the parking area at the lower-right corner? | Yes |
CJ_merged_000057 | [
{
"path": "images/Dronemillion/img_008146.jpg"
}
] | In the curved parking area beside the blue-roofed building, are all vehicles neatly parked in marked spaces with their fronts facing the building? | No |
CJ_merged_000058 | [
{
"path": "images/Dronemillion/img_008152.jpg"
}
] | In the parking area along the bottom edge, are most cars parked within marked parking spaces, roughly parallel to the curb line, and not blocking the internal lane? | Yes |
CJ_merged_000059 | [
{
"path": "images/Dronemillion/img_008162.jpg"
}
] | In the row of parking spaces between the landscaped strip on the left side of the central vertical road and the high-rise building on the left side of the image, are there any red and blue cars parked there? | No |
CJ_merged_000060 | [
{
"path": "images/Dronemillion/img_008171.jpg"
}
] | At the central multi-lane intersection, are there no vehicles on the crosswalk, and is there a bus with a blue roof to the right of the intersection? | No |
CJ_merged_000061 | [
{
"path": "images/Dronemillion/img_008182.jpg"
}
] | Is the image foggy with low visibility, and are many pedestrians walking on the crosswalk? | No |
CJ_merged_000062 | [
{
"path": "images/Dronemillion/img_008188.jpg"
}
] | In the parking lot directly below the building on the left side of the image, are most parked cars neatly positioned in parking spaces, generally facing the building entrance, while their bodies are randomly tilted? | No |
CJ_merged_000063 | [
{
"path": "images/Dronemillion/img_008199.jpg"
}
] | Is there no snow visible anywhere on the rooftops or ground in the image anymore? | No |
CJ_merged_000064 | [
{
"path": "images/Dronemillion/img_008210.jpg"
}
] | In the parking area along the right side of the main road, are cars parked in marked bays while still leaving a clear lane for vehicles to drive through? | Yes |
CJ_merged_000065 | [
{
"path": "images/Dronemillion/img_008220.jpg"
}
] | Are the vehicles parked on both sides of the main road arranged within clearly marked parking spaces, leaving a continuous and unobstructed emergency lane? | No |
CJ_merged_000073 | [
{
"path": "images/Dronemillion/img_008222.jpg"
}
] | Are all vehicles waiting behind the stop lines at the central intersection while the pedestrian crosswalks remain completely unobstructed? | No |
CJ_merged_000075 | [
{
"path": "images/Dronemillion/img_008235.jpg"
}
] | Within the central intersection, are all vehicles aligned strictly within lane markings while simultaneously yielding clear space around the pedestrian crosswalks? | No |
CJ_merged_000076 | [
{
"path": "images/Dronemillion/img_008244.jpg"
}
] | Under low-visibility conditions, are vehicles from all four directions leading to the central intersection generally aligned within their lanes and stopped before the crosswalks rather than blocking them? | Yes |
CJ_merged_000077 | [
{
"path": "images/Dronemillion/img_008254.jpg"
}
] | Among the row of parked vehicles below the dental hospital, are there any white, gray, and pink cars? | Yes |
CJ_merged_000078 | [
{
"path": "images/Dronemillion/img_008260.jpg"
}
] | Does the scene show both heavy smog reducing visibility and vehicles still actively using the intersection in multiple directions? | Yes |
CJ_merged_000079 | [
{
"path": "images/Dronemillion/img_008265.jpg"
}
] | At the central intersection, are multiple vehicles present within the junction area while the pedestrian crosswalk markings in all four directions remain clearly unobstructed by vehicles? | Yes |
CJ_merged_000080 | [
{
"path": "images/Dronemillion/img_008272.jpg"
}
] | At the central intersection, are moving vehicles generally aligned within the lane markings while there is still a vehicle on the crosswalk? | No |
CJ_merged_000085 | [
{
"path": "images/Dronemillion/img_008287.jpg"
}
] | Are the vehicles parked in the open area at the lower right arranged in different orientations while all aligned with clearly visible parking-space lines? | No |
CJ_merged_000088 | [
{
"path": "images/Dronemillion/img_008301.jpg"
}
] | Is there a person wearing bright yellow clothing to the left of the pink car in the parking area beside the intersection at the lower right of the image? | Yes |
CJ_merged_000089 | [
{
"path": "images/Dronemillion/img_008311.jpg"
}
] | Given the heavy haze over the intersection, are vehicles still moving through it while the lane markings and crosswalks remain clearly visible enough to guide traffic? | Yes |
CJ_merged_000090 | [
{
"path": "images/Dronemillion/img_008321.jpg"
}
] | Is the white van near the center of the intersection positioned fully within a marked lane and clearly aligned with the painted lane arrows? | No |
CJ_merged_000091 | [
{
"path": "images/Dronemillion/img_008331.jpg"
}
] | Despite the heavy haze, are vehicles at the central intersection generally aligned within their lanes and stopping outside the pedestrian crosswalk zones? | Yes |
CJ_merged_000092 | [
{
"path": "images/Dronemillion/img_008338.jpg"
}
] | Is the green city bus both stopped entirely within its lane and aligned parallel to the lane markings without encroaching on the adjacent crosswalk? | Yes |
CJ_merged_000093 | [
{
"path": "images/Dronemillion/img_008352.jpg"
}
] | In the lower-right parking area, are all vehicles parked in marked spaces, and is there no one walking on the crosswalk to the left? | No |
CJ_merged_000094 | [
{
"path": "images/Dronemillion/img_008364.jpg"
}
] | In the parking area in front of the curved white building on the right, are some cars parked in an orderly row while others are angled or double-parked, suggesting partial parking disorder? | Yes |
CJ_merged_000095 | [
{
"path": "images/Dronemillion/img_008373.jpg"
}
] | In the parking area in front of the curved white building, are all vehicles parked neatly within marked spaces and oriented in the same direction toward the building? | No |
CJ_merged_000096 | [
{
"path": "images/Dronemillion/img_008380.jpg"
}
] | At the main intersection, are vehicles stopped behind the pedestrian crosswalk lines while the signal for their direction appears to be red or otherwise not permitting movement? | No |
CJ_merged_000098 | [
{
"path": "images/Dronemillion/img_008401.jpg"
}
] | Are there pedestrians present on the bottom crosswalk or its adjacent sidewalk while nearby vehicles are waiting close to the stop line? | No |
CJ_merged_000099 | [
{
"path": "images/Dronemillion/img_008412.jpg"
}
] | Are all vehicles in the multi-lane approach at the right edge properly aligned within single lanes and stopped behind the nearest crosswalk line? | No |
CJ_merged_000100 | [
{
"path": "images/Dronemillion/img_008419.jpg"
}
] | Are the vehicles queuing along the curved curb at the right edge mostly aligned within a single lane and oriented in the same direction, suggesting an orderly waiting queue? | Yes |
CJ_merged_000101 | [
{
"path": "images/Dronemillion/img_008428.jpg"
}
] | Is motor vehicle traffic at the intersection generally orderly, with cars staying within marked lanes and no vehicles stopped inside the central box area? | Yes |
CJ_merged_000102 | [
{
"path": "images/Dronemillion/img_008435.jpg"
}
] | Across the whole intersection, are vehicles generally aligned within marked lanes and crosswalk areas kept clear of stopped vehicles? | No |
CJ_merged_000103 | [
{
"path": "images/Dronemillion/img_008446.jpg"
}
] | Are all vehicles in this right-side queue properly aligned within their lanes and leaving a clear gap behind the red bus ahead of them? | No |
CJ_merged_000104 | [
{
"path": "images/Dronemillion/img_008454.jpg"
}
] | At this central intersection, are all vehicle lanes with straight-through arrows completely free of stopped vehicles while every pedestrian waiting area at the crosswalks is occupied by at least one person? | No |
CJ_merged_000105 | [
{
"path": "images/Dronemillion/img_008462.jpg"
}
] | On the central pedestrian street, are decorative lanterns hanging overhead while several pedestrians walk along the wet, snow-lined pathway? | Yes |
CJ_merged_000107 | [
{
"path": "images/Dronemillion/img_008477.jpg"
}
] | Is the orange lifting machine positioned on cleared pavement while its boom extends over snow-covered ground where no pedestrians are standing nearby? | Yes |
CJ_merged_000110 | [
{
"path": "images/Dronemillion/img_008492.jpg"
}
] | Is the orange boom lift positioned on the snowy ground with its boom extended over the cleared area while nearby cars remain parked outside its immediate working range? | No |
CJ_merged_000112 | [
{
"path": "images/Dronemillion/img_008503.jpg"
}
] | Is the pedestrian plaza fully cleared of snow with all maintenance workers concentrated there and no remaining snow piles on the walking paths? | No |
CJ_merged_000114 | [
{
"path": "images/Dronemillion/img_008513.jpg"
}
] | On the circular ice rink, are all skaters moving in the same clockwise direction while staying within the inner ring close to the central monument? | No |
CJ_merged_000115 | [
{
"path": "images/Dronemillion/img_008520.jpg"
}
] | Are all people on the circular ice rink wearing dark clothing and moving in the same counterclockwise direction around the center pillar? | No |
CJ_merged_000117 | [
{
"path": "images/Dronemillion/img_008530.jpg"
}
] | On the circular ice rink in the center, are all skaters moving in an organized single clockwise direction while being supervised by visible staff standing evenly around the rinkβs perimeter? | No |
CJ_merged_000120 | [
{
"path": "images/Dronemillion/img_008542.jpg"
}
] | On the circular ice rink in the center, are all skaters wearing dark clothing with no one in a light-colored outfit such as white or bright red? | No |
CJ_merged_000121 | [
{
"path": "images/Dronemillion/img_008544.jpg"
}
] | Are all people on the circular skating area staying within the blue-lit rink boundary and wearing similarly bright clothing suitable for skating? | No |
CJ_merged_000124 | [
{
"path": "images/Dronemillion/img_008545.jpg"
}
] | In the circular plaza, are all people on the ice confined within the rink barrier and wearing clearly visible helmets? | No |
CJ_merged_000127 | [
{
"path": "images/Dronemillion/img_008552.jpg"
}
] | Are some of the cars along the lower road positioned such that they partially block driveways or turning space while pedestrians are walking nearby on the roadside? | Yes |
CJ_merged_000128 | [
{
"path": "images/Dronemillion/img_008556.jpg"
}
] | On the central road, are vehicles forming a congested queue while pedestrians are simultaneously walking along both sides rather than using a separated sidewalk area? | Yes |
CJ_merged_000129 | [
{
"path": "images/Dronemillion/img_008561.jpg"
}
] | Are the people in this long queue arranged in a single orderly line with clear spacing between individuals and no side-by-side clusters forming secondary lines? | No |
CJ_merged_000130 | [
{
"path": "images/Dronemillion/img_008565.jpg"
}
] | Are all cars in this lower-right courtyard row parked neatly within single marked spaces and facing the same direction toward the building? | No |
CJ_merged_000131 | [
{
"path": "images/Dronemillion/img_008569.jpg"
}
] | Does the long queue along the lit sidewalk consist of people spaced apart in an orderly single line while several staff-like figures stand separately near the bright entrance area? | No |
CJ_merged_000132 | [
{
"path": "images/Dronemillion/img_008574.jpg"
}
] | Is the crowd along the illuminated sidewalk mostly standing in a single straight line with clear spacing between individuals and without people spilling onto the adjacent roadway? | No |
CJ_merged_000133 | [
{
"path": "images/Dronemillion/img_008583.jpg"
}
] | Is the box truck near the middle-right edge parked neatly within a clearly marked parking space and oriented parallel to the adjacent cars? | No |
CJ_merged_000134 | [
{
"path": "images/Dronemillion/img_008587.jpg"
}
] | On the central horizontal road, are all visible vehicles parked neatly within marked parking bays and aligned parallel to the road edges? | No |
CJ_merged_000136 | [
{
"path": "images/Dronemillion/img_008598.jpg"
}
] | Within this residential block, are most parked cars positioned in marked courtyard or roadside spaces while the internal driveways remain largely clear for vehicle passage? | Yes |
CJ_merged_000137 | [
{
"path": "images/Dronemillion/img_008606.jpg"
}
] | Across the whole scene, are all vehicles parked or stopped only in clearly designated parking areas, with no cars standing along the narrow inner roads? | No |
CJ_merged_000138 | [
{
"path": "images/Dronemillion/img_008613.jpg"
}
] | In the central vertical parking area, are most parking spaces occupied by cars while the driveway between the rows is kept clear for vehicle passage? | Yes |
CJ_merged_000140 | [
{
"path": "images/Dronemillion/img_008624.jpg"
}
] | Within this lit compound, are multiple workers clearly visible near the bright floodlights and is there heavy machinery operating under those lights? | No |
CJ_merged_000149 | [
{
"path": "images/Dronemillion/img_008643.jpg"
}
] | Is the large box truck beside the warehouse positioned within a marked parking bay and aligned roughly parallel to the painted bay lines? | No |
CJ_merged_000151 | [
{
"path": "images/Dronemillion/img_008653.jpg"
}
] | Are the vehicles in the long queue on the curved middle road positioned in clearly marked lanes with visible lane dividers and a traffic signal controlling their wait? | No |
CJ_merged_000152 | [
{
"path": "images/Dronemillion/img_008658.jpg"
}
] | Is the yellow construction vehicle positioned in the yard both oriented parallel to the nearby parked cars and surrounded by other vehicles indicating it is currently parked rather than operating? | No |
CJ_merged_000154 | [
{
"path": "images/Dronemillion/img_008663.jpg"
}
] | Are the cars parked along the center road positioned in an orderly single line on one side of the road, leaving the opposite side generally clear for vehicle passage? | Yes |
CJ_merged_000155 | [
{
"path": "images/Dronemillion/img_008674.jpg"
}
] | Is the bridge wide enough to carry two clearly marked lanes in each direction with continuous lane markings and visible pedestrian sidewalks on both sides? | No |
CJ_merged_000157 | [
{
"path": "images/Dronemillion/img_008682.jpg"
}
] | Is at least one vehicle on this main road driving in each direction, with the vehicles positioned in the appropriate lanes separated by the central markings? | Yes |
CJ_merged_000159 | [
{
"path": "images/Dronemillion/img_008690.jpg"
}
] | Are all vehicles traveling on the main road properly using only one lane each, with no cars straddling the lane markings or partially stopped on the roadside? | No |
CJ_merged_000160 | [
{
"path": "images/Dronemillion/img_008693.jpg"
}
] | In the open yard between the two blue-roofed buildings, are there both curved internal pathways and at least two distinct circular features visible on the ground? | Yes |
CJ_merged_000161 | [
{
"path": "images/Dronemillion/img_008701.jpg"
}
] | In the large paved parking lot in the upper left, are cars parked only within marked bays while several rows of spaces remain entirely empty, indicating low occupancy but orderly parking? | Yes |
CJ_merged_000162 | [
{
"path": "images/Dronemillion/img_008705.jpg"
}
] | Does the whole scene show a clearly maintained separation between the factory buildings and the frozen waterway, with a continuous secure fence and no apparent breaches or gaps? | No |
CJ_merged_000163 | [
{
"path": "images/Dronemillion/img_008707.jpg"
}
] | Does the long industrial building at the top left have both multiple rooftop ventilation units and several vehicles parked directly along its front side? | Yes |
CJ_merged_000165 | [
{
"path": "images/Dronemillion/img_008723.jpg"
}
] | Across the whole scene, are vehicles generally parked in an orderly manner along designated edges of roads and yards without visibly blocking building entrances or internal driveways? | Yes |
CJ_merged_000166 | [
{
"path": "images/Dronemillion/img_008727.jpg"
}
] | In this open yard between the two large buildings, are multiple cars parked in an orderly manner while the ground also shows scattered snow patches and construction materials or debris? | Yes |
CJ_merged_000172 | [
{
"path": "images/Dronemillion/img_008748.jpg"
}
] | In the parking area beside the main road, are there multiple cars parked in an organized, front-in orientation rather than randomly scattered or angled? | Yes |
CJ_merged_000173 | [
{
"path": "images/Dronemillion/img_008752.jpg"
}
] | In the open paved area in front of the tall beige highβrise, are pedestrians present while several cars are parked in an orderly manner around its edges? | Yes |
CJ_merged_000174 | [
{
"path": "images/Dronemillion/img_008758.jpg"
}
] | Are the cars parked along the edge of the open yard arranged in a single orderly row, all facing toward the yard rather than toward the street? | Yes |
CJ_merged_000175 | [
{
"path": "images/Dronemillion/img_008763.jpg"
}
] | Are several passenger cars parked in marked spaces and aligned consistently within this parking lot beside the tall red-roofed building? | No |
CJ_merged_000176 | [
{
"path": "images/Dronemillion/img_008766.jpg"
}
] | Are all vehicles parked along this narrow road uniformly aligned within a clearly marked parking area without any vehicle encroaching onto the roadway? | No |
CJ_merged_000178 | [
{
"path": "images/Dronemillion/img_008778.jpg"
}
] | Within the open dirt yard beside the parked vehicles, is there clear evidence of both heavy vehicle tire tracks and scattered material piles indicating ongoing industrial or construction activity? | Yes |
CJ_merged_000179 | [
{
"path": "images/Dronemillion/img_008782.jpg"
}
] | On the multi-lane road in the middle, are moving vehicles present while the lanes closest to the upper roadside are mostly occupied by a continuous line of parked cars? | Yes |
CJ_merged_000180 | [
{
"path": "images/Dronemillion/img_008790.jpg"
}
] | In the main parking lot beside the long rectangular building, are all parked cars aligned neatly within marked spaces without any vehicle encroaching into the drive lanes or snow-covered areas? | No |
CJ_merged_000181 | [
{
"path": "images/Dronemillion/img_008794.jpg"
}
] | On this road segment, are both traffic lanes fully occupied by vehicles moving in opposite directions with no long empty gaps between cars? | No |
CJ_merged_000182 | [
{
"path": "images/Dronemillion/img_008797.jpg"
}
] | Does the central farmland show regularly spaced, curved planting rows with narrow irrigation channels between the row blocks and patches of remaining snow along some of the boundaries? | Yes |
CJ_merged_000183 | [
{
"path": "images/Dronemillion/img_008801.jpg"
}
] | On this middle road, are all vehicles parked neatly within marked spaces and facing the same direction along the curb? | No |
CJ_merged_000185 | [
{
"path": "images/Dronemillion/img_008812.jpg"
}
] | Does this industrial building show signs of being in active use, with vehicles parked immediately beside it and its roof areas largely intact rather than collapsed? | Yes |
CJ_merged_000186 | [
{
"path": "images/Dronemillion/img_008818.jpg"
}
] | Do the cars parked along the road in front of the pagoda-like building appear orderly in a single row and positioned fully within the paved roadside area rather than on the adjacent paths or grass? | No |
CJ_merged_000187 | [
{
"path": "images/Dronemillion/img_008824.jpg"
}
] | Within this central rectangular plot, are most planting rows fully covered by snow with distinct untouched white bands running continuously from one side of the plot to the other? | No |
Drone-PUR Benchmark
This package provides the test split of Drone-PUR, covering perception, understanding, and reasoning in UAV scenes: 11 tasks, 20,051 test questions, and 22,248 image files. The ten choice-based tasks, including binary CJ, contain 18,431 questions; OD uses open-ended multi-box prediction.
Images come from eight established datasets:
VisDrone,
DroneVehicle,
DroneCrowd,
MDMT,
MDOT,
DroneRGBT,
AnimalDrone, and
DroneBird. Newly collected images are
stored under images/Dronemillion/, corresponding to the paper's "New Images".
The image counts in this package refer to the test split, not the full dataset.
GPS location fields have been removed from the released Dronemillion images;
image pixels, dimensions, orientation, and embedded frames are preserved.
Tasks
| Dimension | Task | Questions |
|---|---|---|
| Perception | Object Detection (OD) | 1,620 |
| Perception | Object Recognition (OR) | 1,785 |
| Perception | Object Counting (OC) | 1,761 |
| Perception | Multi-Image Grounding (MIG) | 990 |
| Understanding | Conditional Judgment (CJ) | 2,512 |
| Understanding | Visual Grounding (VG) | 1,361 |
| Understanding | Position Spatial Judgment (PSJ) | 2,719 |
| Reasoning | MMR-C: joint counting | 1,708 |
| Reasoning | MMR-G: joint grounding | 1,211 |
| Reasoning | MMR-R: multimodal reasoning | 615 |
| Reasoning | MVR-G: cross-view grounding | 1,241 |
| Reasoning | MVR-R: multi-view reasoning | 424 |
| Reasoning | Causal Reasoning (CR) | 1,031 |
| Reasoning | Situational Inference (SI) | 1,073 |
MMR's three subtasks form one task; MVR's two subtasks form one task.
Paper names MMR-C, MMR-G, MVR-G correspond to file/loader identifiers
MMR-OC, MMR-VG, MVR-VG, respectively. Other identifiers are unchanged.
PSJ includes vehicle heading (VH, 359), pedestrian heading (PH, 341), turning
direction (TD, 677), horizontal relative position (RP, 1,173), and height
comparison (HC, 169). VH/PH use image-relative headings; TD/RP use object-relative
directions. HC compares elevation, not object height. The stored label
3. Travel Direction refers to TD.
Files and Annotations
Drone-PUR-Benchmark/
βββ annotations/ # Task folders; MMR/MVR have separate subtask JSON files
βββ images/<source>/ # Images referenced by the test questions
βββ metadata/
β βββ image_manifest.json
β βββ template_config.json
βββ tools/
β βββ benchmark_io.py
β βββ prepare_templates.py
βββ requirements.txt
βββ LICENSE
βββ README.md
Each JSON file has dataset, split, task, subtask, total_samples, and
results. Single-task files use annotations/<TASK>/test.json; MMR uses
test_oc.json, test_vg.json, test_reasoning.json, and MVR uses the latter two.
Each sample has question_id, question, and an ordered images list whose
entries contain only a root-relative path. Choice samples also have options
and correct_answer. CJ stores Yes/No directly, without an option dictionary.
ground_truthstores open-ended answers:count,box, orboxes, with atypeand, for localization, a 1-basedimage_index.- MIG and MVR-G have
template.boxidentifying the reference target in Image 1. MIG'squery_frameidentifies the answer frame. - OR has a target
bbox. PSJ hassampled_question_typeand applicable object boxes. HC'shigh_box/low_boxare answer-related references, not model inputs.
Boxes use normalized [x1, y1, x2, y2] coordinates in the indicated image, with
the origin at the upper-left. MVR-G absent targets use type: "absent" and the
not exist choice, not a zero-area box. Do not pass answers to models; omit
candidate options for open-ended prediction.
image_manifest.json provides image paths, sources, dimensions, sizes, and
checksums. template_config.json provides shared reference-box drawing settings.
Download
Download the repository snapshot while keeping its directory layout:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="Henard224/Drone-PUR-Benchmark",
repo_type="dataset",
local_dir="./Drone-PUR-Benchmark",
)
The 14 Hugging Face configurations correspond to the annotation files, each with a test split.
They expose annotation rows; image paths remain relative to the downloaded
repository. The original JSON files retain their headers and results arrays.
Image Order and Templates
| Task | Input order |
|---|---|
| MIG | Reference image first, then three later frames; answer in query_frame |
| MMR | RGB first, TIR second; MMR-G boxes refer to RGB |
| MVR | View 1 then View 2; MVR-G matches the reference target into View 2 |
Before evaluating MIG or MVR-G, generate the red-box reference images:
python -m pip install -r requirements.txt
python tools/prepare_templates.py
Python 3.10+ is required. Generated images are saved under prepared_images/;
source images are not overwritten. Only Image 1 receives the reference box.
The drawing utility reads metadata/template_config.json and reuses matching
outputs on subsequent runs. Keep the original image order and do not draw twice.
Usage
Run template preparation first for MIG and MVR-G.
import sys
from pathlib import Path
root = Path('/path/to/Drone-PUR-Benchmark')
sys.path.insert(0, str(root / 'tools'))
from benchmark_io import load_annotations, model_image_paths, get_ground_truth
sample = load_annotations(root, 'MVR-VG')[0] # MVR-G in the paper
image_paths = model_image_paths(root, sample)
question = sample['question']
options = sample['options']
reference = get_ground_truth(sample) # For evaluation only.
The reader supplies task/subtask context from the JSON header. It selects the prepared reference image where required and leaves other inputs unchanged.
The paper reports accuracy for choice-based tasks, Acc@0.5 for grounding,
MAE/MRA for counting, and Micro-F1@0.5 for OD. Grounding correctness requires
IoU > 0.5, or a correct not exist response for absent targets. Aggregate PSJ,
MMR, and MVR by sample count; overall choice accuracy is sample-weighted across
the 18,431 choice/Yes-No questions.
This dataset repository contains no inference or scoring programs. The included tools only read annotations and prepare reference images. Evaluation code belongs to the separate GitHub code release; see the project page for code availability.
License
Copyright (c) 2026 the Drone-PUR authors and the respective source-data owners.
Drone-PUR Benchmark is released under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Sharing and adaptation are permitted for non-commercial purposes with attribution; adaptations must use the same or a compatible license. See LICENSE for the complete terms. Previously released source images retain their original rights and applicable terms; no third-party rights are overridden by this notice. Please cite the linked paper when using Drone-PUR.
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