Dataset Versions
Versions
2024-01-10 10:07pm
v54
· a year ago
2024-01-03 1:25am
v53
· a year ago
2023-12-31 2:59pm
v52
· a year ago
2023-12-31 2:16pm
v51
· a year ago
2023-12-28 11:24pm
v50
· a year ago
2023-12-28 7:24pm
v49
· a year ago
original_dataset
v48
· a year ago
2023-12-25 5:36pm
v47
· a year ago
2023-12-25 5:36pm
v46
· a year ago
2023-12-25 11:23am
v45
· a year ago
2023-12-25 11:19am
v44
· a year ago
2023-12-24 10:59pm
v43
· a year ago
2023-11-29 10:28am
v42
· a year ago
2023-11-29 10:27am
v41
· a year ago
2023-11-29 10:27am
v40
· a year ago
2023-11-29 10:27am
v39
· a year ago
2023-11-29 10:24am
v38
· a year ago
2023-11-29 2:27am
v37
· a year ago
2023-11-28 2:36pm
v36
· a year ago
2023-11-28 1:55pm
v35
· a year ago
2023-11-28 1:49pm
v34
· a year ago
2023-11-28 11:11am
v33
· a year ago
2023-11-28 11:08am
v32
· a year ago
2023-11-28 11:06am
v31
· a year ago
2023-11-28 11:03am
v30
· a year ago
2023-11-28 11:00am
v29
· a year ago
2023-11-28 2:55am
v28
· a year ago
2023-11-28 2:38am
v25
· a year ago
2023-11-28 2:37am
v24
· a year ago
2023-11-28 2:32am
v16
· a year ago
2023-11-28 2:04am
v13
· a year ago
2023-11-28 2:02am
v12
· a year ago
2023-11-28 1:16am
v9
· a year ago
2023-11-27 5:12pm
v8
· a year ago
2023-11-26 10:57am
v7
· a year ago
2023-11-15 10:32pm
v6
· a year ago
2023-11-15 10:02pm
v5
· a year ago
2023-11-11 6:34pm
v4
· a year ago
2023-11-10 11:33am
v3
· a year ago
2023-10-15 11:46pm
v2
· a year ago
v28
2023-11-28 2:55am
Generated on Nov 27, 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.
850 Total Images
View All Images
Dataset Split
Train Set 82%
700Images
Valid Set 9%
75Images
Test Set 9%
75Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 100% of images