Dataset Versions
Versions
2023-06-28 9:36pm
v35
· a year ago
2023-06-28 8:42pm
v34
· a year ago
2023-06-28 8:25pm
v33
· a year ago
2023-06-28 4:43pm
v32
· a year ago
2023-06-28 3:30pm
v31
· a year ago
2023-06-26 3:50am
v30
· 2 years ago
2023-06-26 2:43am
v29
· 2 years ago
2023-06-25 2:07pm
v28
· 2 years ago
2023-06-23 11:04pm
v27
· 2 years ago
2023-06-23 5:09am
v26
· 2 years ago
2023-06-23 1:32am
v25
· 2 years ago
2023-06-23 1:28am
v24
· 2 years ago
2023-06-23 1:24am
v23
· 2 years ago
2023-06-23 1:20am
v22
· 2 years ago
2023-06-21 10:05pm
v21
· 2 years ago
2023-06-11 12:02am
v20
· 2 years ago
2023-06-10 3:24pm
v19
· 2 years ago
2023-06-06 2:32pm
v18
· 2 years ago
2023-06-06 1:58pm
v17
· 2 years ago
2023-06-06 12:46am
v16
· 2 years ago
2023-06-05 1:47pm
v15
· 2 years ago
2023-06-05 10:15am
v14
· 2 years ago
2023-06-05 12:59am
v13
· 2 years ago
2023-06-02 8:31pm
v12
· 2 years ago
2023-05-29 7:42pm
v11
· 2 years ago
2023-05-29 4:15pm
v10
· 2 years ago
2023-05-29 4:09pm
v9
· 2 years ago
2023-05-29 1:57pm
v8
· 2 years ago
2023-05-28 9:11pm
v7
· 2 years ago
2023-05-17 9:22pm
v4
· 2 years ago
2023-05-17 7:42pm
v3
· 2 years ago
2023-05-17 6:58pm
v2
· 2 years ago
2023-05-16 6:21pm
v1
· 2 years ago
v33
2023-06-28 8:25pm
Generated on Jun 28, 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.
4432 Total Images
View All Images
Dataset Split
Train Set 89%
3966Images
Valid Set 7%
294Images
Test Set 4%
172Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 100% of images
Saturation: Between -67% and +67%