Dataset Versions
Versions
2023-05-13 9:20am
v35
· 2 years ago
2023-04-16 10:25am
v34
· 2 years ago
2023-04-15 7:53pm
v33
· 2 years ago
2023-04-15 4:30pm
v32
· 2 years ago
2023-04-15 12:41pm
v31
· 2 years ago
2023-04-06 10:57am
v30
· 2 years ago
2023-04-02 1:41pm
v29
· 2 years ago
2023-04-02 11:14am
v28
· 2 years ago
2023-04-02 9:25am
v27
· 2 years ago
2023-04-01 4:40pm
v26
· 2 years ago
2023-04-01 1:40pm
v25
· 2 years ago
2023-04-01 10:27am
v24
· 2 years ago
2023-04-01 10:25am
v23
· 2 years ago
2023-03-30 6:07pm
v22
· 2 years ago
2023-03-30 1:44pm
v21
· 2 years ago
2023-03-30 12:39pm
v20
· 2 years ago
2023-03-25 5:12pm
v19
· 2 years ago
2023-03-25 11:00am
v18
· 2 years ago
2023-03-25 10:41am
v17
· 2 years ago
2023-03-25 9:09am
v16
· 2 years ago
2023-03-24 6:36pm
v15
· 2 years ago
2023-03-24 11:17am
v14
· 2 years ago
2023-03-23 2:32pm
v13
· 2 years ago
2023-03-23 1:55pm
v12
· 2 years ago
2023-03-23 1:22pm
v11
· 2 years ago
2023-03-23 11:56am
v10
· 2 years ago
2023-03-22 5:01pm
v9
· 2 years ago
2023-03-20 4:37pm
v8
· 2 years ago
2023-03-20 4:02pm
v7
· 2 years ago
2023-03-20 2:43pm
v6
· 2 years ago
2023-03-19 11:28am
v5
· 2 years ago
2023-03-19 10:34am
v4
· 2 years ago
2023-03-18 7:19pm
v3
· 2 years ago
2023-03-18 3:44pm
v2
· 2 years ago
2023-03-18 2:46pm
v1
· 2 years ago
v33
2023-04-15 7:53pm
Generated on Apr 15, 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.
514 Total Images
View All Images
Dataset Split
Train Set 89%
455Images
Valid Set 10%
52Images
Test Set 1%
7Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 39% of images
Brightness: Between -25% and +25%
Exposure: Between -30% and +30%