Dataset Versions
Versions
2022-04-16 8:37pm_v11_final
v20
· 3 years ago
2022-04-16 12:49am_v10_final
v19
· 3 years ago
2022-04-15 7:39pm_final_v9
v18
· 3 years ago
2022-04-14 4:43pm_new_more_val_test
v17
· 3 years ago
2022-04-09 1:50pm_with_new_val
v16
· 3 years ago
2022-04-09 12:47pm_all_more_Val_Test
v15
· 3 years ago
2022-04-09 12:00am_With_Augmentation_andPreprocess
v14
· 3 years ago
2022-04-08 8:05pm_original_size
v13
· 3 years ago
2022-04-08 6:23pm_v3_all
v12
· 3 years ago
2022-03-29 4:57pm_all_with_augmentation_test_val_final
v11
· 3 years ago
2022-03-29 4:38pm_all_with_augmentation_final
v10
· 3 years ago
2022-03-29 2:12pm_with_augmentation_no_pen
v9
· 3 years ago
2022-03-29_all_with_pen 1:39pm
v7
· 3 years ago
2022-03-29_with_out_pen 1:27pm
v6
· 3 years ago
2022-03-29_all 1:02am
v5
· 3 years ago
2022-03-28 9:06pm
v4
· 3 years ago
2022-03-25 4:49pm
v3
· 3 years ago
2022-02-19 3:59am
v2
· 3 years ago
2022-02-19 3:37am
v1
· 3 years ago
v10
2022-03-29 4:38pm_all_with_augmentation_final
Generated on Mar 29, 2022
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.
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4845 Total Images
View All Images
Dataset Split
Train Set 100%
4845Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Exposure: Between -25% and +25%