Dataset Versions
Versions
2024-11-14 10:11pm
v22
· 10 days ago
2024-11-14 3:11pm
v21
· 10 days ago
2024-11-12 6:24pm
v20
· 12 days ago
2024-11-12 6:22pm
v19
· 12 days ago
2024-11-12 6:13pm
v18
· 12 days ago
2024-10-22 8:46am
v17
· a month ago
2024-10-13 6:02pm
v16
· a month ago
2024-10-13 5:49pm
v15
· a month ago
2024-10-12 3:27pm
v14
· a month ago
2024-10-02 7:46pm
v13
· 2 months ago
2024-10-02 7:41pm
v12
· 2 months ago
2024-10-02 7:30pm
v11
· 2 months ago
2024-09-29 3:42pm
v10
· 2 months ago
2024-09-24 3:04pm
v9
· 2 months ago
2024-04-14 3:11pm
v8
· 7 months ago
2024-04-14 3:09pm
v7
· 7 months ago
2024-04-14 3:06pm
v6
· 7 months ago
2024-03-30 2:02pm
v5
· 8 months ago
2024-03-17 4:56pm
v4
· 8 months ago
2024-03-06 7:57pm
v3
· 9 months ago
2023-12-02 2:29pm
v2
· a year ago
2023-11-21 10:03pm
v1
· a year ago
v22
2024-11-14 10:11pm
Generated on Nov 14, 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.
767 Total Images
View All Images
Dataset Split
Train Set 79%
603Images
Valid Set 14%
106Images
Test Set 8%
58Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Exposure: Between -15% and +15%
Blur: Up to 1.8px
Noise: Up to 1.8% of pixels