Versions
Versions
2025-04-13 11:35pm
v11
3251
2023-11-09 12:06pm
v10
3251
Fast
fhashf/7
2023-08-22 3:02pm
v9
3194
2023-08-10 3:07pm
v8
1194
2023-08-10 1:48pm
v7
1194
Fast
2023-06-12 7:09pm
v6
1194
2023-06-06 6:34am
v5
1194
Fast
COCOv6n
2023-05-28 8:25pm
v4
797
2023-05-25 11:31am
v3
438
2023-04-28 12:36pm
v2
605
640x640
Stretch to
2023-04-27 9:55am
v1
604
640x640
Stretch to
v10
2023-11-09 12:06pm
Generated on Nov 9, 2023
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.
3251 Total Images
View All Images
Dataset Split
Train Set 94%
3057Images
Valid Set 4%
143Images
Test Set 2%
51Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Noise: Up to 5% of pixels