Head_Body_Detection Dataset
Versions
2023-08-05 6:42pm
v12
· a year ago
2023-08-04 4:49pm
v11
· a year ago
2023-08-04 3:42pm
v10
· a year ago
2023-08-03 1:34am
v9
· a year ago
2023-08-02 8:30pm
v8
· a year ago
2023-08-02 6:33pm
v7
· a year ago
2023-08-02 5:58pm
v6
· a year ago
2023-08-02 3:38pm
v5
· a year ago
2023-08-01 12:34pm
v4
· a year ago
2023-08-01 12:26pm
v3
· a year ago
2023-08-01 12:22am
v2
· a year ago
2023-07-30 8:34pm
v1
· a year ago
v5
2023-08-02 3:38pm
Generated on Aug 2, 2023
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.
1769 Total Images
View All Images
Dataset Split
Train Set 90%
1584Images
Valid Set 7%
128Images
Test Set 3%
57Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit within 640x480
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 25 boxes with 10% size each
Bounding Box: Flip: Horizontal, Vertical