Dataset Versions
Versions
2024-07-25 7:20am
v11
· 4 months ago
2024-06-14 11:41pm
v10
· 5 months ago
2024-06-10 12:25pm
v9
· 5 months ago
2024-06-09 7:27pm
v8
· 5 months ago
2024-06-07 10:36am
v6
· 5 months ago
2024-06-07 3:42am
v5
· 5 months ago
2024-06-07 12:39am
v4
· 5 months ago
2024-06-06 11:30pm
v3
· 5 months ago
2024-06-06 11:09pm
v2
· 5 months ago
2024-06-06 10:15pm
v1
· 5 months ago
v11
2024-07-25 7:20am
Generated on Jul 25, 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.
218959 Total Images
View All Images
Dataset Split
Train Set 86%
187773Images
Valid Set 10%
21813Images
Test Set 4%
9373Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 29-71% Horizontal Region, 16-49% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each