Dataset Versions
Versions
Applied augmentations
v7
· 8 months ago
Removed images without heads
v6
· 8 months ago
Added and annotated most of my own data
v5
· 8 months ago
Imported and annotated third dataset
v4
· 8 months ago
Imported second dataset -already annotated-
v3
· 8 months ago
Reannotated first dataset
v2
· 8 months ago
Just imported first dataset
v1
· 8 months ago
v7
Applied augmentations
Generated on May 28, 2024
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
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
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23689 Total Images
View All Images
Dataset Split
Train Set 90%
21399Images
Valid Set 6%
1353Images
Test Set 4%
937Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -22% and +22%