README.md

metadata

license: apache-2.0
task_categories:
  - object-detection
  - image-classification
tags:
  - military
  - aircraft
  - aerospace
  - yolo
  - defense
  - birds
  - drones
size_categories:
  - 10K-100K

Military Aircraft Detection & Classification Dataset (87 Classes + Advanced Backgrounds)

Overview

This dataset is a professionally prepared resource for training high-performance object detection models like YOLOv11 and classification models. It features a balanced distribution across 87 distinct military aircraft classes, augmented with a specialized background strategy to handle real-world "noise" like wildlife and small commercial UAVs.

Key Technical Specifications

• Total Images: 26,668 (Updated with 1.5% Bird & 1.5% Drone injection).
• Resolution: Uniform 640x640 pixels.
• Annotation Format: YOLO-Ready (.txt) with normalized coordinates.
• Stratified Split: Approximately 80% Train / 10% Val / 10% Test maintained across all 87 classes.

Enhanced Background Strategy

To significantly reduce false positives, the dataset includes 3,127 background images (approx. 13% of total). These are empty labels that teach the model to ignore:

1. Empty Skies & Clouds & Commercial AriCrafts: Standard negative samples.
2. Birds: 1.5% injection to prevent "Bird-as-Plane" false detections.
3. Commercial Drones: 1.5% injection to help the model distinguish between small quadcopters and military-grade UAVs.

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.

Background (Negative) Samples

These files contain 0 bytes (empty).

• Aircraft Backgrounds: sky_bg_01.txt — Standard sky/clouds.
• Bird Backgrounds: Birds_v1_01.txt — High-resolution bird imagery.
• Drone Backgrounds: Drones_v1_01.txt — Commercial quadcopters and hobbyist drones.

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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