BBoxes Image Dataset
Versions
2021-11-15 7:09pm
v10
Nov 15, 2021
no_contrast_no_exposure
v8
Nov 15, 2021
no_rotations
v7
Nov 15, 2021
no_noise_others_minimized
v6
Nov 15, 2021
noise_1_blur_7.5_new_images
v5
Nov 15, 2021
no_noise_blur9_histogram_contrast
v4
Nov 12, 2021
less_noise_more_blur
v3
Nov 12, 2021
bigger_blur
v2
Nov 12, 2021
2021-11-12 7:17pm
v1
Nov 12, 2021
v1
2021-11-12 7:17pm
Generated on Nov 12, 2021
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.
428 Total Images
View All Images
Dataset Split
Train Set 88%
375Images
Valid Set 12%
53Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 5.75px
Noise: Up to 3% of pixels
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