TFT new version Image Dataset
Versions
2024-06-11 9:24pm
v33
Jun 11, 2024
2024-04-19 5:33pm
v32
Apr 19, 2024
2024-04-15 8:46pm
v31
Apr 15, 2024
2024-04-13 11:29pm
v30
Apr 13, 2024
2024-04-13 4:18pm
v29
Apr 13, 2024
2024-04-13 12:51pm
v28
Apr 13, 2024
2024-04-12 2:42pm
v27
Apr 12, 2024
2024-04-11 11:04am
v26
Apr 11, 2024
2024-04-10 12:59pm
v25
Apr 10, 2024
2024-04-10 11:02am
v24
Apr 10, 2024
2024-04-09 1:52pm
v23
Apr 9, 2024
2024-04-09 10:37am
v22
Apr 9, 2024
2024-04-08 10:53am
v21
Apr 8, 2024
2024-04-06 3:57pm
v20
Apr 6, 2024
2024-04-06 10:22am
v19
Apr 6, 2024
2024-04-05 5:09pm
v18
Apr 5, 2024
2024-04-04 1:45pm
v17
Apr 4, 2024
2024-03-29 7:17pm
v16
Mar 29, 2024
2024-03-28 6:46pm
v15
Mar 28, 2024
2024-03-28 4:45pm
v14
Mar 28, 2024
2024-03-27 7:59pm
v13
Mar 27, 2024
2024-03-27 2:15pm
v12
Mar 27, 2024
2024-03-26 8:21pm
v11
Mar 26, 2024
2024-03-25 7:50pm
v10
Mar 25, 2024
2024-03-24 8:36pm
v9
Mar 24, 2024
2024-03-23 6:57pm
v8
Mar 23, 2024
2024-03-22 6:59pm
v7
Mar 22, 2024
2024-03-21 10:05pm
v6
Mar 21, 2024
2024-03-21 3:40pm
v5
Mar 21, 2024
2024-03-21 10:30am
v4
Mar 21, 2024
2024-03-20 9:41pm
v3
Mar 20, 2024
2024-03-20 6:58pm
v2
Mar 20, 2024
2024-03-20 6:41pm
v1
Mar 20, 2024
v33
2024-06-11 9:24pm
Generated on Jun 11, 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.
1350 Total Images
View All ImagesDataset Split
Train Set 88%
1189Images
Valid Set 9%
115Images
Test Set 3%
46Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Blur: Up to 2.5px
Similar Projects
Champions-items
309 images
TFT-CHAMPIONS
278 images
character
61 images
tft-items
72 images
champions
159 images