Dataset Versions
Versions
V12 -Yolov9 multiclass annotation-
v12
· 4 months ago
Multiclass annotation
v11
· 4 months ago
2024-08-30 9:03pm
v10
· 4 months ago
EfficientDet
v9
· 4 months ago
2024-07-04 1:43pm
v8
· 6 months ago
2024-04-07 10:25pm
v7
· 9 months ago
2024-04-04 11:56pm
v6
· 9 months ago
2024-03-19 11:35pm
v5
· 9 months ago
cnn
v4
· 9 months ago
2024-03-17 4:09am
v3
· 9 months ago
yolov9
v2
· 9 months ago
2024-03-17 3:26am
v1
· 9 months ago
v10
2024-08-30 9:03pm
Generated on Aug 30, 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
Choose another format.
863 Total Images
View All Images
Dataset Split
Train Set 92%
795Images
Valid Set 4%
35Images
Test Set 4%
33Images
Preprocessing
Auto-Orient: Applied
Static Crop: 19-86% Horizontal Region, 32-75% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%