Dataset Versions
Versions
2023-10-07 4:19am
v26
· a year ago
2023-10-07 4:14am
v25
· a year ago
2023-10-07 2:04am
v24
· a year ago
2023-10-07 1:57am
v23
· a year ago
2023-10-07 1:14am
v22
· a year ago
2023-10-06 10:24pm
v21
· a year ago
2023-10-06 5:20pm
v20
· a year ago
2023-10-06 5:10pm
v19
· a year ago
2023-10-06 5:08pm
v18
· a year ago
2023-10-06 4:58pm
v17
· a year ago
2023-10-06 4:42pm
v16
· a year ago
2023-10-06 11:40am
v15
· a year ago
2023-10-06 7:49am
v14
· a year ago
2023-10-06 7:23am
v13
· a year ago
2023-10-06 7:18am
v12
· a year ago
2023-09-26 1:35pm
v11
· a year ago
2023-09-26 12:42pm
v10
· a year ago
2023-09-24 11:05pm
v9
· a year ago
2023-09-24 9:27pm
v8
· a year ago
2023-09-24 8:29pm
v7
· a year ago
2023-09-24 7:48pm
v6
· a year ago
2023-09-24 7:51am
v5
· a year ago
2023-09-24 3:47am
v1
· a year ago
v7
2023-09-24 8:29pm
Generated on Sep 24, 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.
2056 Total Images
View All Images
Dataset Split
Train Set 82%
1689Images
Valid Set 12%
249Images
Test Set 6%
118Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 1280x720
Grayscale: Applied
Modify Classes: 26 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 5% Maximum Zoom