MS COCO Object Detector Image Dataset
Versions
v1
2023-05-09 11:05pm
Generated on May 10, 2023
Popular Download Formats
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
MT-YOLOv6
MT-YOLOv6 TXT annotations used with meituan/YOLOv6.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
3250 Total Images
View All Images
Dataset Split
Train Set 97%
3141Images
Valid Set 2%
55Images
Test Set 2%
54Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1200x1200
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 55% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±10° Horizontal, ±29° Vertical
Grayscale: Apply to 23% of images
Hue: Between -17° and +17°
Saturation: Between -32% and +32%
Brightness: Between -42% and +42%
Exposure: Between -43% and +43%
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 16% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -19° and +19°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -24% and +24%
Bounding Box: Blur: Up to 4.5px
Bounding Box: Noise: Up to 2% of pixels
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