Versions
Versions
2022-09-01 12:21pm
v12
2825
2022-08-23 9:39am
v11
2235
2022-08-23 9:37am
v10
2305
2022-08-23 9:32am
v9
2315
2022-08-23 9:29am
v8
2855
2022-08-23 9:27am
v7
1595
2022-08-16 2:58pm
v6
1595
2022-08-13 12:35pm
v5
1595
Fast
COCOv6n
2022-08-13 12:10pm
v4
1595
2022-08-13 10:38am
v3
558
2022-08-13 10:37am
v2
473
2022-08-12 10:29am
v1
1521
v10
2022-08-23 9:37am
Generated on Aug 23, 2022
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.
2305 Total Images
View All Images
Dataset Split
Train Set 72%
1655Images
Valid Set 17%
400Images
Test Set 11%
250Images
Preprocessing
Tile: 1 rows x 5 columns
Augmentations
Outputs per training example: 3
90° Rotate: Counter-Clockwise