final_tr_um Image Dataset
Versions
394images_2024-06-19 6-27am
v67
Jun 19, 2024
aug_7times_2024-06-18 6-15am
v66
Jun 18, 2024
aug_3times_2024-06-18 6-06am
v60
Jun 18, 2024
394umages_2024-06-18 5-30am
v55
Jun 18, 2024
112epoch_3times_Aug_2024-06-16 5-26pm
v52
Jun 16, 2024
aaug_3times_2024-06-16 3-44pm
v49
Jun 16, 2024
45epochs_2024-06-16 3-07pm
v48
Jun 16, 2024
100epochs_2024-06-16 2-44pm
v47
Jun 16, 2024
v9_5times_25epochs_2024-06-16 6-33am
v46
Jun 16, 2024
v9_aug_40epochs_2024-06-16 6-24am
v41
Jun 16, 2024
v9_aug_30epochs_2024-06-16 6-04am
v40
Jun 16, 2024
v8_28epochsbestt_2024-06-15 9-03am
v36
Jun 15, 2024
v9_36epochs2024-06-15 8-39am
v35
Jun 15, 2024
V9_34epochsbestt_2024-06-15 7-49am
v34
Jun 15, 2024
v9_36epochs_2024-06-15 7-10am
v33
Jun 15, 2024
v8_2024-06-14 8-42pm
v32
Jun 14, 2024
v9_2024-06-14 8-42pm
v31
Jun 14, 2024
v8_2024-06-14 8-21pm
v27
Jun 14, 2024
v9_45_2024-06-14 8-21pm
v26
Jun 14, 2024
v8_25_bestresults_2024-06-14 8-20pm
v25
Jun 14, 2024
v9_40_2024-06-14 8-17pm
v24
Jun 14, 2024
v9_aug_horflip_530images_2024-06-13 8-43am
v20
Jun 13, 2024
v9_hf_90rotatetop2_903times_2024-06-13 7-45am
v9
Jun 13, 2024
v8_394images_2024-06-13 7-04am
v8
Jun 13, 2024
v9_394images_2024-06-13 7-03am
v7
Jun 13, 2024
2024-06-13 7:02am
v6
Jun 13, 2024
v9_402images_2024-06-13 6-08am
v5
Jun 13, 2024
v9_2024-06-12 11-51pm
v3
Jun 12, 2024
2024-06-12 11:13pm
v2
Jun 12, 2024
2024-06-12 10:42pm
v1
Jun 12, 2024
v66
aug_7times_2024-06-18 6-15am
Generated on Jun 18, 2024
Popular Download Formats
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.
1067 Total Images
View All Images
Dataset Split
Train Set 79%
842Images
Valid Set 11%
114Images
Test Set 10%
111Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 7
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
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