Box Annotations Dataset
Versions
2024-09-16 3:30am
v14
· 4 days ago
2024-09-05 8:31am
v11
· 15 days ago
2024-09-05 8:09am
v10
· 15 days ago
2024-09-04 2:29pm
v9
· 16 days ago
2024-09-04 2:26pm
v8
· 16 days ago
2024-08-08 8:51am
v7
· a month ago
2024-07-17 4:50am
v6
· 2 months ago
2024-07-17 3:20am
v5
· 2 months ago
2024-07-11 3:29am
v4
· 2 months ago
2024-07-11 3:26am
v3
· 2 months ago
v11
2024-09-05 8:31am
Generated on Sep 5, 2024
Popular Download Formats
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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.
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.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
244 Total Images
View All Images
Dataset Split
Train Set 71%
174Images
Valid Set 29%
70Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -22° and +22°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 1.84% of pixels