CoolFace
Datasetpublic

Mobiusi/Curtain-Track-Guide-Slot-Detection-Dataset

Curtain Track Guide Slot Detection Dataset The current retail e-commerce industry faces challenges such as uneven product quality and low detection efficiency, especially in the detection of curtain track guide slots. Manual inspection is not only time-consuming but also prone to human errors, making quality control difficult. Existing automated detection solutions largely rely on traditional visual recognition technologies, which struggle to adapt to complex environments and… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Curtain-Track-Guide-Slot-Detection-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 7mo agoView on Hugging Face
0likes62downloads
.gitattributes61 linesDownload Raw Back to root
1*.7z filter=lfs diff=lfs merge=lfs -text2*.arrow filter=lfs diff=lfs merge=lfs -text3*.avro filter=lfs diff=lfs merge=lfs -text4*.bin filter=lfs diff=lfs merge=lfs -text5*.bz2 filter=lfs diff=lfs merge=lfs -text6*.ckpt filter=lfs diff=lfs merge=lfs -text7*.ftz filter=lfs diff=lfs merge=lfs -text8*.gz filter=lfs diff=lfs merge=lfs -text9*.h5 filter=lfs diff=lfs merge=lfs -text10*.joblib filter=lfs diff=lfs merge=lfs -text11*.lfs.* filter=lfs diff=lfs merge=lfs -text12*.lz4 filter=lfs diff=lfs merge=lfs -text13*.mds filter=lfs diff=lfs merge=lfs -text14*.mlmodel filter=lfs diff=lfs merge=lfs -text15*.model filter=lfs diff=lfs merge=lfs -text16*.msgpack filter=lfs diff=lfs merge=lfs -text17*.npy filter=lfs diff=lfs merge=lfs -text18*.npz filter=lfs diff=lfs merge=lfs -text19*.onnx filter=lfs diff=lfs merge=lfs -text20*.ot filter=lfs diff=lfs merge=lfs -text21*.parquet filter=lfs diff=lfs merge=lfs -text22*.pb filter=lfs diff=lfs merge=lfs -text23*.pickle filter=lfs diff=lfs merge=lfs -text24*.pkl filter=lfs diff=lfs merge=lfs -text25*.pt filter=lfs diff=lfs merge=lfs -text26*.pth filter=lfs diff=lfs merge=lfs -text27*.rar filter=lfs diff=lfs merge=lfs -text28*.safetensors filter=lfs diff=lfs merge=lfs -text29saved_model/**/* filter=lfs diff=lfs merge=lfs -text30*.tar.* filter=lfs diff=lfs merge=lfs -text31*.tar filter=lfs diff=lfs merge=lfs -text32*.tflite filter=lfs diff=lfs merge=lfs -text33*.tgz filter=lfs diff=lfs merge=lfs -text34*.wasm filter=lfs diff=lfs merge=lfs -text35*.xz filter=lfs diff=lfs merge=lfs -text36*.zip filter=lfs diff=lfs merge=lfs -text37*.zst filter=lfs diff=lfs merge=lfs -text38*tfevents* filter=lfs diff=lfs merge=lfs -text39# Audio files - uncompressed40*.pcm filter=lfs diff=lfs merge=lfs -text41*.sam filter=lfs diff=lfs merge=lfs -text42*.raw filter=lfs diff=lfs merge=lfs -text43# Audio files - compressed44*.aac filter=lfs diff=lfs merge=lfs -text45*.flac filter=lfs diff=lfs merge=lfs -text46*.mp3 filter=lfs diff=lfs merge=lfs -text47*.ogg filter=lfs diff=lfs merge=lfs -text48*.wav filter=lfs diff=lfs merge=lfs -text49# Image files - uncompressed50*.bmp filter=lfs diff=lfs merge=lfs -text51*.gif filter=lfs diff=lfs merge=lfs -text52*.png filter=lfs diff=lfs merge=lfs -text53*.tiff filter=lfs diff=lfs merge=lfs -text54# Image files - compressed55*.jpg filter=lfs diff=lfs merge=lfs -text56*.jpeg filter=lfs diff=lfs merge=lfs -text57*.webp filter=lfs diff=lfs merge=lfs -text58# Video files - compressed59*.mp4 filter=lfs diff=lfs merge=lfs -text60*.webm filter=lfs diff=lfs merge=lfs -text61