TA Dataset
Versions
2024-01-15 10:11am
v29
· 10 months ago
2024-01-14 5:57pm
v28
· 10 months ago
2024-01-14 5:53pm
v27
· 10 months ago
2024-01-14 5:38pm
v26
· 10 months ago
2024-01-14 5:35pm
v25
· 10 months ago
2024-01-14 5:33pm
v24
· 10 months ago
2024-01-14 5:32pm
v23
· 10 months ago
2024-01-14 5:31pm
v22
· 10 months ago
2024-01-14 4:46pm
v21
· 10 months ago
2024-01-14 4:45pm
v20
· 10 months ago
2024-01-14 4:44pm
v19
· 10 months ago
2024-01-14 4:40pm
v18
· 10 months ago
2024-01-14 4:39pm
v17
· 10 months ago
2024-01-14 4:38pm
v16
· 10 months ago
2024-01-14 4:35pm
v15
· 10 months ago
2024-01-14 4:34pm
v14
· 10 months ago
2024-01-14 4:30pm
v13
· 10 months ago
2024-01-12 10:13am
v12
· 10 months ago
2024-01-12 9:32am
v11
· 10 months ago
2023-12-20 2:51pm
v10
· 10 months ago
2023-12-20 2:49pm
v9
· 10 months ago
2023-12-20 2:45pm
v8
· 10 months ago
2023-12-20 2:28pm
v7
· 10 months ago
2023-12-20 2:13pm
v6
· 10 months ago
2023-12-20 1:53pm
v5
· 10 months ago
2023-12-20 1:32pm
v4
· 10 months ago
2023-06-28 12:01pm
v3
· a year ago
2023-06-27 2:55pm
v2
· a year ago
2023-03-13 3:40pm
v1
· 2 years ago
v21
2024-01-14 4:46pm
Generated on Jan 14, 2024
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.
1704 Total Images
View All Images
Dataset Split
Train Set 71%
1214Images
Valid Set 15%
248Images
Test Set 14%
242Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-78% Horizontal Region, 10-76% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical