metadata
license: apache-2.0
task_categories:
- object-detection
- image-classification
tags:
- military
- aircraft
- aerospace
- yolo
- defense
size_categories:
- 10K-100K
Military Aircraft Detection & Classification Dataset (87 Classes)
Overview
This dataset is a professionally prepared resource for training high-performance object detection models like YOLO and classification models like EfficientNet-B4. It features a balanced distribution across 87 distinct military aircraft classes, specifically refined to eliminate ultra-rare samples and prevent model bias.
Key Technical Specifications
- Total Images: 25,894.
- Resolution: Uniform 640x640 pixels.
- Annotation Format: YOLO-Ready (.txt) with normalized coordinates.
- Negative Samples: Included 10% background-only images (2,353 images) to significantly reduce false positives in empty skies and different commercial aircraft.
Understanding the Annotation Format
Each image has a matching .txt file containing the detection labels.
Positive Sample Example
A file named su57_01.txt containing: 68 0.475000 0.496875 0.415625 0.859375
- 68: Class ID. Matches Su57 in our 87-class table.
- 0.475000: X-Center. Horizontal center at 47.5% of image width.
- 0.496875: Y-Center. Vertical center at 49.6% of image height.
- 0.415625: Width. Bounding box spans 41.5% of image width.
- 0.859375: Height. Bounding box spans 85.9% of image height.
Negative Sample (Background) Example
10% of the dataset consists of background images to prevent "ghost" detections.
- File:
sky_bg_01.txt - Content: Empty (0 bytes)
- Purpose: Teaches the model that no aircraft are present in this specific image.
Final Class ID Table (87 Classes)
| ID | Class | ID | Class | ID | Class | ID | Class |
|---|---|---|---|---|---|---|---|
| 0 | A10 | 22 | CL415 | 44 | JF17 | 66 | Su34 |
| 1 | A400M | 23 | E2 | 45 | JH7 | 67 | Su47 |
| 2 | AG600 | 24 | E7 | 46 | KAAN | 68 | Su57 |
| 3 | AH64 | 25 | EF2000 | 47 | KC135 | 69 | TB001 |
| 4 | AKINCI | 26 | EMB314 | 48 | KF21 | 70 | TB2 |
| 5 | AV8B | 27 | F117 | 49 | KJ600 | 71 | Tejas |
| 6 | An124 | 28 | F14 | 50 | Ka27 | 72 | Tornado |
| 7 | An22 | 29 | F15 | 51 | Ka52 | 73 | Tu160 |
| 8 | An225 | 30 | F16 | 52 | MQ9 | 74 | Tu22M |
| 9 | An72 | 31 | F18 | 53 | Mi24 | 75 | Tu95 |
| 10 | B1 | 32 | F2 | 54 | Mi26 | 76 | U2 |
| 11 | B2 | 33 | F22 | 55 | Mi28 | 77 | UH60 |
| 12 | B52 | 34 | F35 | 56 | Mi8 | 78 | US2 |
| 13 | Be200 | 35 | F4 | 57 | Mig29 | 79 | V22 |
| 14 | C1 | 36 | FCK1 | 58 | Mig31 | 80 | Vulcan |
| 15 | C130 | 37 | H6 | 59 | Mirage2000 | 81 | WZ7 |
| 16 | C17 | 38 | Il76 | 60 | P3 | 82 | X32 |
| 17 | C2 | 39 | J10 | 61 | RQ4 | 83 | XB70 |
| 18 | C390 | 40 | J20 | 62 | Rafale | 84 | Y20 |
| 19 | C5 | 41 | J35 | 63 | SR71 | 85 | YF23 |
| 20 | CH47 | 42 | J36 | 64 | Su24 | 86 | Z10 |
| 21 | CH53 | 43 | JAS39 | 65 | Su25 | 87 | Z19 |